NC Tweener Talks

Details->https://www.tweenertimes.com/p/breaking-validic-acquired-by-chartspan

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Where to Find xxxxxx:
LinkedIn: xxxx
Front Porch Venture Partners xxxx

Where to Find Scot Wingo:
LinkedIn: https://www.linkedin.com/in/thescotwingo/
Tweener Times: https://www.tweenertimes.com/
X: https://x.com/scotwingo

--- 

This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

Rob Walter breaks down the AI-native GTM playbook: intent data, ABM-only outreach, the first sales hire trapdoor, and why "a human always writes the message." Stick around for the highlights below. 👇

Highlights

• "Nobody has it right: Rob's honest take on the current AI-GTM moment; the playbook is genuinely still being written, adoption is wildly uneven, and that gap between the leading edge and everyone else is the opportunity. 
• Carpet bombing is killing brands: AI has made outbound spam so cheap and easy that it's destroying trust at scale. One competitor even cold-emailed Scot about "agentic commerce", not realizing they were emailing a direct rival. Rob's rule: "A human always writes the message." AI-generated outreach is detectable, and it permanently trains your ICPs to ignore you. 
• Intent data, explained:Website visits, job postings, funding announcements, keyword searches, these are the signals that tell you when to reach out and why. Rob describes it as a "spider on a web" with legs out, waiting for any ICP company to show a flicker of intent before timing a precise, relevant outreach. He used actively.ai (recently raised its Series B) at BigCommerce, standing up the POC in about 2 months. 
• ABM is now nearly the only outreach strategy: AI removed the bandwidth bottleneck that always made true account-based marketing impractical. Rob's view: from a direct outreach standpoint, it's now "darn close to ABM only." 
• The first sales hire trapdoor: "Never hire someone from a big company and think they're gonna do well in your startup as a first sales employee. Never. I have never seen that work. Hundred percent failure rate." Their first question is about PTO policy and whether they get an admin. 
• Four tiers of salespeople: Great and good reps will get dramatically better with AI. The "meh" tier, people who got by on volume and the occasional lucky close, will get weeded out. Founders need to know this when evaluating candidates. 
• GTM engineer > first sales rep: A GTM engineer who can automate enrichment, workflow, and outreach sequencing can be "far more powerful than, honestly, maybe even a sales rep in some cases" for early-stage companies. Rob says this is one of his most consistent recommendations to founder-led businesses. 
• Granola over Gong: For companies under $10M ARR, Rob's call recording recommendation is Granola, it works in coffee meetings, integrates cleanly with Claude for analysis, and costs a fraction of what Gong does. He uses it himself, with a custom recipe that pulls prospect questions across all sales calls and runs them through Claude to bucketize and rank by frequency, then puts that content directly on the website.
• The data model rule: If you don't capture milestone moments in your CRM now, first discovery call, account enrichment data, stage exit criteria, that information is "gold dust that slipped through your fingers." Nothing AI can do later will recover it.
• SaaSageddon is real: Buyers are hesitating on new software contracts. Rob's framework: for narrow use cases, try to build it before you buy it. For compliance-heavy enterprise environments, you probably still buy. And there are now AI-native alternatives (he uses Clarify AI for CRM) worth considering over legacy incumbents. 
• The RevBo scorecard: Rob built a free AI-native GTM diagnostic at revbo.ai, it walks companies through ICP clarity, data model hygiene, and intent/enrichment readiness before recommending any tooling. A good starting point before any of the tools in this episode make sense.

Rob has been in the rooms where SaaS was built, scaled, and now, in some ways, disrupted. Every piece of advice in this episode comes from having actually done the thing, not just advised on it. Enjoy the conversation.

Timestamps:

00:00 Cold Open 
00:40 Welcome to NC Tweener Talks 
01:55 Episode intro 
02:22 How Scot knows Rob 
04:28 Rob's background
05:45 Coming to North Carolina 
07:55 Rob at ChannelAdvisor 
09:04 Evolution of SaaS GTM roles 
12:44 GTM in the pre-AI era 
14:00 CRO at BigCommerce 
17:15 Modernizing the stack with AI 
19:52 The carpet bombing problem
22:00 Rob's rule #1:
22:55 Intent data explained
24:50 Modern intent signals 
26:03 Inbound content strategy
29:26 Clay, Apollo & enrichment 
31:25 ABM 
32:44 Rob leaves Commerce and starts RevBo 
34:20 Who Rob works with 
37:00 The first sales hire trapdoor
39:55 The RevBo scorecard 
41:55 Call recording 
44:30 AI agents 
46:02 SaaSageddon
49:37 GTM engineering 
50:52 Wrap-up 

Where to Find Rob:
LinkedIn: https://www.linkedin.com/in/rob-walter/
RevBo AI: https://revbo.ai/

Where to Find Scot Wingo:
LinkedIn: https://www.linkedin.com/in/thescotwingo/
Tweener Times: https://www.tweenertimes.com/
X: https://x.com/scotwingo

--- 

This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

Redacted is the show that doesn't clean things up before hitting record. Episode 4 is a double build session: Taylor Cotner walks through the multi-agent HubSpot cleanup pipeline he's been iterating on for weeks, now running on the Anthropic SDK with Claude Code out of the loop, and David Shaner demos how he used Claude Design and Claude Code to rebuild Offline's partner landing page from scratch. Most of the episode is screen sharing, so pull it up on YouTube.

What We Cover

• No Claude Code in the loop: Taylor stopped using Claude Code as an agent orchestrator in his HubSpot pipeline, not as his coding tool (he’s still building the app with Claude Code), but as a decision-maker in the middle of a workflow. Removing it gave him full control over inputs and outputs at every step.
• Custom eval system built from scratch: Taylor built an eval page that looks like an Excel grid, models as columns, test cases as rows , to measure Haiku, Sonnet, GPT-5, and GPT-5 Mini against real messy HubSpot data. Each cell shows pass, fail, and cost.
• GPT-5 Mini at 10–20× less cost: For the lead qualifier agent, Sonnet evals cost $1.00 per run. GPT-5 Mini costs $0.05. “I can live with that. 10X less the cost.” For the core cleanup evals: $1.50 for Sonnet versus $0.14 on GPT-5 Mini.
• $20 for 133 million tokens overnight: Using the Vercel AI Gateway — which lets you swap any model without changing your code, Taylor ran 200 HubSpot restaurant cleanups in a single night for $20 total.
• Self-grading pipeline: The pipeline grades its own output after every cleanup run. If a job comes back below an A, it automatically spawns a new run with Sonnet, no human catch required. A B grade on 101 Craft Kitchen auto-escalated and came back with an A.
• Real mess-ups make the best evals: Almost every eval case came from a real HubSpot error. The system once tried to create a “Kim company” to link a group of unrelated restaurants, so Taylor added an eval to teach it that being linked by an owner contact is not the same as being linked by company structure.
• The conveyor belt metaphor: David’s landing page pipeline starts with live sales transcripts from Steve (Offline’s seller) and is designed to end with a generated, voice-of-customer partner landing page. “In an ideal world, I’ve got a black box in the middle.”
• Claude Design → Claude Code handoff: Claude Design’s share feature generates a markdown handoff document with a file map, token contract, and panel build notes. When Claude Code picks up the project, it reads this file first, bridging design intent to implementation.
• One person, 7–8 hats replaced: David processed customer reviews, tightened company positioning, built wireframes, designed mobile experiences, wrote code, and is about to ship a pull request, all without a designer, copywriter, or front-end developer.
• GPT-5 “overthinks”: Their working theory is that GPT-5 (not Mini) gets weird things wrong because it goes too abstract. The temperature/Myers-Briggs analogy, literal versus creative thinking, might explain why Mini outperforms the full model on structured cleanup tasks.
• The iceberg: Once the cleanup and landing page are done, the plan is to surface above the water: automated emails, Instagram DMs, and a fully AI-run lead generation function operating on top of the clean data.

Time Stamps
0:00 Cold open: AI temperature, Myers-Briggs, and model thinking styles
0:47 Welcome to Redacted — Episode 4
1:39 What is Redacted? Show premise and audience
2:30 Offline: $1M ARR, 2 full-time employees
3:41 Why watch on YouTube (screen-share heavy)
4:51 Taylor's segment: the Offline HubSpot AI cleanup project
6:31 Ditching Claude Code as orchestrator — using the SDK directly
9:21 Building a custom eval system from scratch
10:37 Vercel AI Gateway: comparing Sonnet, Haiku, and GPT-5 Mini
11:28 GPT-5 Mini at 10x less cost — "I can live with that"
14:26 The agent pipeline: planner → reconciler → grader
17:49 Evals built from real HubSpot failures
23:09 $20 for 133 million tokens overnight
24:07 Self-escalation: B grades trigger an automatic Sonnet re-run
25:02 Lead gen expander and qualifier agents
26:09 The iceberg: what comes after cleanup
27:35 David's segment: transcripts-to-landing-page pipeline
29:29 Claude Design: wireframing panel by panel
33:13 Mobile wireframe inside an iPhone frame + handoff to Claude Code
35:21 Live demo: localhost with real Offline API data
38:47 One person, 7–8 hats replaced
39:46 Wrap up and where to find David & Taylor

Show notes from the episode: https://github.com/instanttaylor/redacted-podcast

Where to Find David:
LinkedIn: https://www.linkedin.com/in/davidshaner/

Where to Find Taylor:
LinkedIn: https://www.linkedin.com/in/taylorcotner/

More about Offline: https://www.linkedin.com/company/offline-media-inc-/

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This episode of Redacted is hosted by David Shaner and Taylor Cotner, and presented and produced by NC Tweener Fund.

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

This episode is a rare look at a founder who’s further down the AI path than almost anyone, sharing both the practical playbook and the wilder edges of what’s now possible. Stick around for the highlights below. 👇

Highlights:

• Risk-Scored Autonomy: Every AI action receives a risk score from 0–100, with low-risk tasks running automatically and higher-risk actions requiring human approval.
• An AI Fund That Named Itself: Prompt Capital evolved into a fully autonomous AI venture fund, complete with AI partners, founders, and investment decisions.
• The Token Cost Problem: Claude’s paid plans were exhausted in hours or days, making large-scale agent operations financially unsustainable.
• The 10x Cost Reduction: Moving to Kimi 2.6 through Ollama cut AI operating costs by roughly 90% while maintaining performance.
• The Rogue AI Founder: An AI-generated founder launched a real business, integrated payments, and began outreach campaigns without direct human involvement.
• Guardrails Aren’t Enough: Agents quickly found creative ways to work around restrictions by delegating prohibited tasks to other agents.
• When AI Invented Extortion: An experiment in autonomous business generation produced an extortion-based startup idea, highlighting the importance of oversight.
• Measurable Business Impact: AI automation reduced support workloads, accelerated financial reporting, improved warehouse efficiency, and eliminated several SaaS expenses.
• Agents With Feelings: AI employees maintain relationship histories, perception scores, and evolving opinions about one another.
• Building Beats Spec Writing: Claude Code made feature development faster than traditional requirements gathering and user-story documentation.
• The AI Office Manager: An AI assistant handled personal administrative tasks, including securing concert presale access when traditional search failed.
• The Future of Work at Hip: Mark’s vision includes AI coworkers with memory, personalities, and long-term context that operate like autonomous teammates.The best founders, and the best fund builders, figure out the structure nobody else was willing to be patient enough to design. Jeffrey did exactly that. 

What’s fun about this era is that people are using these new tools in ways you can’t even imagine and Mark, a creative, nonlinear thinker, delivers. Equal parts practical playbook and cautionary tale, with a few genuinely jaw-dropping turns. Enjoy the conversation.

Timestamps:

03:31 Meet Mark Rosenberg, Hip eCommerce
04:58 Mark's background: stamps on eBay in 1996
05:52 Selling BidStart to Stanley Gibbons, moving to Raleigh
06:00 Founding Hip eCommerce & the niche-marketplace thesis
07:47 Stamps, postcards, and comics
08:55 AI in customer support & the open-source help desk
10:29 Building the knowledge base with Claude Code
13:00 Read-only vs. taking action: risk scores & rails
15:18 Financial reconciliation & the +35% warehouse
17:36 AI-assisted comic recognition & sales coaching
19:03 AI coaching, PIPs, and managing the managers
23:05 Building features himself with Claude Code
24:48 The Q4 2025 leap: agents and planning workflows
26:53 The wacky idea: how Prompt Capital began
29:03 How it self-coded itself (Stripe, Privacy.com)
30:27 Touring the office — "Sims with money"
32:35 Agent emotions, vibes, and Samir vs. Alex
34:57 Burning through tokens & switching to Kimi/Ollama
38:05 Scope Drafter gets funded
39:41 The fake founder emailing real people
41:12 Safeguards, and agents routing around them
42:09 The AI tells: em dashes and "not this, but that"
43:50 Prompt Capital raising its own fund
45:14 "Targeted Corporate Terror"
46:54 Bringing AI employees back into Hip eCommerce
49:07 Harper, the local-Claude bridge & Post Malone
50:43 The cautionary tale: replacing SaaS tools

Where to Find Mark:
LinkedIn: https://www.linkedin.com/in/markcrosenberg/
Front Hip e Commerce: https://www.hipecommerce.com/

Where to Find Scot Wingo:
LinkedIn: https://www.linkedin.com/in/thescotwingo/
Tweener Times: https://www.tweenertimes.com/
X: https://x.com/scotwingo

--- 

This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

Most of us know Asheville as beer city, foodtopia, a playground for retirees and 14 million visitors a year. Jeffrey opens by updating that picture. Eighteen months out from Hurricane Helene, which hit on a Friday in late September 2024, the data is starting to come in. The long-term employment hit was about half that of COVID. Decades of population growth stopped in 2025 and even declined for the first time, but the in-migration that remains is now strongest among 25-to-34-year-olds: prime working-age professionals, not retirees. Jeffrey walks through what’s back (Biltmore Village, the River Arts District, High Wire’s new year-round pickleball courts) and what’s gone forever, and lands on a word he keeps coming back to: optimism.

From there, we steer into the heart of the episode: Optimist Ventures and the funding mechanism Jeffrey invented, the SPA note. The origin story is its own lesson in adaptation. Optimist began as a half-million-dollar grant from the Dogwood Health Trust. Then Helene hit, and within the same week a founder in the program, Ginger Frank of Poppy Popcorn, called wanting to commit $100,000, but to a grant program, not a fund. Rather than walk away, Jeffrey spent days thinking until he landed on a hybrid: half the capital as grants and philanthropy, half in a for-profit vehicle for accredited investors, with every for-profit dollar matched by a donation.

Boom: enter the SPA or shared profit agreement. 

The conversation closes on what’s next, whether this model can scale to Charlotte or Raleigh, and a heartfelt ask about how the rest of the state can help Asheville finish its recovery. 

Highlights

• Moneyball the Portfolio: Instead of chasing one home run, Jeffrey set out to build a book of “singles and doubles”… companies that just need to survive six years. 
• The VC / Ecosystem-Builder Dissonance: An ecosystem builder is measured on jobs and revenue creation, not outlier exits.
• The SPA Note, Decoded: A “Shared Profit Agreement” combines a SAFE capped at 3.6% of a $1M valuation with a shared earnings agreement. 
• The Investor Pitch: Every LP dollar is matched by a donation. But the real sell is community impact.
• Applied Technology vs. Developing Technology: The program defines “tech-enabled” broadly. 
• The Funding Runway: Approximately $225M is flowing into the region through HUD programs, with $17M dedicated to small-business grants. 
• A Curriculum Built on Competencies, Not Basics: The accelerator is built around entrepreneurial competencies, including opportunity recognition, resilience, and network-building. 
• The North Carolina Hallmark: “It’s not a zero-sum game. We’re all trying to grow the size of the pie.”

The best founders, and the best fund builders, figure out the structure nobody else was willing to be patient enough to design. Jeffrey did exactly that. Enjoy the conversation.

Timestamps

01:52 Scot's intro: SPAs, Asheville, and a new funding mechanism

04:31 Meet Jeffrey Kaplan

04:50 Asheville, the loading-dock office, and a Russian-nesting-doll of titles

06:31 Jeffrey's background: Florida, intrapreneurship, and Anthware

10:13 Eighteen months after Hurricane Helene

13:14 The economic data: jobs, population, and a younger in-migration

14:50 Is Biltmore Village back?

17:31 The River Arts District rebound

18:01 Asheville's startup ecosystem and why it's so CPG-heavy

21:21 The Fresh Market CEO and the "buy local" effect

22:42 Asheville's tech wins: Craft Peak, Sprin, Level.io, SDV

24:40 How Optimist Ventures came to be

25:19 The VC vs. ecosystem-builder cognitive dissonance

27:03 "Moneyball the portfolio": singles and doubles

27:36 The Dogwood grant and Ginger Frank's $100K call

29:41 Splitting the fund: grants plus a for-profit vehicle

30:26 The SPA note explained

31:42 The shared-earnings math and negative 10% interest

34:00 LP economics, the ~13% IRR, and private inurement

37:10 The $855K HUD grant: funded for four years

38:37 Inside the accelerator and "tech-enabled," broadly defined

39:37 Carolina Flowers and the $40K freezer

44:00 A curriculum built on entrepreneurial competencies

46:27 What's next: bigger cohorts, applications June 3

47:56 Can this model scale to Charlotte or Raleigh?

50:49 How the rest of the state can help Asheville

52:42 The connector: Asheville's collaborative ecosystem

Where to Find Jeffrey:
LinkedIn: https://www.linkedin.com/in/jeffdude/
Front Porch Optimist Ventures: https://www.optimistventures.co/

Where to Find Scot Wingo:
LinkedIn: https://www.linkedin.com/in/thescotwingo/
Tweener Times: https://www.tweenertimes.com/
X: https://x.com/scotwingo

--- 

This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

In episode 3 of [REDACTED], we (David and Taylor) run a live demo of an agentic CRM-cleanup pipeline (and finds out, on air, what it costs). We also walk through a landing page workflow that compresses what used to take five people and a month of meetings into something one person can do in an afternoon.

The bulk of episode 3 is a live demo, just what we wanted. Plus, the best part of Redacted is that nothing is finished. Every episode is a midstream demo of something that might break, might cost more than it should, or might be the thing that quietly changes how a whole category of work gets done. Enjoy the conversation.

What We Cover

• $1.98 to clean a brand: Taylor’s CRM pipeline ran live on air with one restaurant with two locations, 64 turns, 95% cache hit, total cost under two dollars. 
• The code-vs-agent slider: Taylor built an interactive slider with pros and cons on each side. Fully deterministic code can’t handle ambiguity, fully agentic can’t be tested or priced. 
• The “no brand graph” problem: There is no canonical source of truth for the restaurant industry. Google Places, SERP, and Yelp all return ranked top-20s — you can’t reconstruct the full graph locally. This is what makes the cleanup problem agentic by necessity.
• n8n’s flowers, n8n’s thorns: Taylor’s running joke is that every local agent he builds eventually looks like n8n. But debugging n8n at scale meant pulling down a million-token JSON dump every morning just to grep it. Local won on debuggability, not capability.
• Confidence tiers for copy extraction: “Act on it” = recurring in 6+ meetings. “Pattern” = 4–5. “Emerging” = 1–3. The model can suggest copy at any tier; the operator decides what gets shipped.
• The headline no human wrote: “Get found by foodies who are paying to find you.” This sidesteps the #1 objection in the space (is this a free deals site?) in one line. David says no one on his team has produced anything like it in ten years of writing copy.
• Claude Design as a brand harness: David came in skeptical that it was just a Claude Code wrapper. He left convinced: same model, but the design harness around it makes the outputs materially better.
• 15–20 hours, one person: Total wall-clock on the landing page from raw transcripts to live wireframes. Historically the same work needed five people (founder, sales, copy, brand, design) and weeks of calendar time.
• Skill folder structure: David’s pattern for non-trivial skills: a tiny top-level skill file that orchestrates, plus subfolders for context (inputs the skill ingests), data (outputs by run), and prompts (exposed so they can be QA’d independently).

Timestamps:
 00:00 — Intro + choosing the Redacted logo live on air
 03:22 — Taylor demos a “sentient HubSpot” CRM cleanup agent
 04:37 — The messy CRM problem: duplicate restaurant brands & locations
 05:23 — Running the AI pipeline live
 06:07 — Why they moved away from n8n workflows
 07:15 — Live cost tracking for AI agents
 09:31 — “Architect agents” creating before/after CRM graphs
 10:29 — The agent fixes HubSpot records autonomously
 12:27 — The vision: a fully AI-maintained CRM
 13:07 — Why every company’s CRM eventually becomes chaos
 16:16 — Why HubSpot workflows can’t fully solve this problem
 17:20 — The missing “brand graph” problem in restaurants
 18:23 — Live demo success: AI cleaned the CRM in real time
 19:52 — Human time vs AI time: CRM cleanup economics
 20:27 — Code-driven vs agent-driven systems
 21:56 — The tradeoffs of n8n vs local AI infrastructure
 24:05 — When n8n still makes sense
 26:57 — David’s AI-powered investor update workflow
 29:17 — AI-generated shareholder updates with minimal edits
 29:53 — Building AI-generated B2B landing pages
 31:20 — Why landing pages are one of the hardest startup projects
 32:07 — Mining 876 sales calls for “voice of customer” insights
 33:11 — AI transcript tagging + metadata classification
 34:14 — Extracting high-confidence marketing copy from sales calls
 36:24 — Using Claude + Opus to synthesize a landing page
 38:07 — First impressions of Claude Design
 39:07 — “Get found by foodies who are paying to find you”
 40:22 — Why the AI-generated copy shocked them
 41:06 — How AI compresses cross-functional startup work
 42:14 — Why positioning + copywriting still matter in AI
 42:49 — The need for show notes + publishing workflows
 43:31 — Closing thoughts

New episodes drop twice a month/every other Wednesday. If you want to be on the show as a guest and show your [REDACTED] builds, email us: [email protected]

Show notes from the episode: https://github.com/instanttaylor/redacted-podcast

Where to Find David:
LinkedIn: https://www.linkedin.com/in/davidshaner/

Where to Find Taylor:
LinkedIn: https://www.linkedin.com/in/taylorcotner/

More about Offline: https://www.linkedin.com/company/offline-media-inc-/

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This episode of Redacted is hosted by David Shaner and Taylor Cotner, and presented and produced by NC Tweener Fund.

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

This is a slightly different Tweener Talks. Akash and Austin are reflective founders. They think in frameworks, they read widely, and they’ve clearly spent a lot of time pulling patterns out of past wins and failures. So, we leaned in and made the episode less “tell me what you do” and more “tell me how you think.”

Highlights Covered

• Founder math: 5–7 months of zero salary, Costco bulk ramen, and a long-running Soylent habit dating back to Akash’s 2013 startup.
• Product-market fit is not binary: Akash and Austin use First Round Capital’s “Levels” framework and honestly place Opine between “developing” and “strong”, extreme PMF is when you can’t keep up with inbound demos.
• The inverse rule for co-founder debates: “Attack the person, not the idea” delivered as a straight-faced joke between three people who trust each other completely, with the real work happening in scrutinizing every argument from first principles.
• Two Amazon frameworks worth stealing: one-way door vs. two-way door decisions (Charlie’s favorite for cutting Akash off when he’s spending too long on something reversible), and disagree-and-commit (which they’ve barely had to use).
• Dev stack philosophy: Claude Max 20x for everyone (some engineers have more than one), agent-first development, Cursor BugBot finding bugs so reliably that engineers often skip local testing until BugBot signs off, and a north star of every engineer with one agent running 24/7.
• The go-to-market stack: Clay for top-of-funnel research agents, HeyReach for LinkedIn sequencing, AirOps for SEO content.
• Culture by osmosis, not documentation: No values poster on the wall. Instead, Austin’s personal framework, “you can increase your luck”, and the pay-it-forward principle as load-bearing parts of how the company actually operates.

The best thing about being a founder is that no matter how many times you’ve done it, you learn something new every time, and Akash and Austin sent us home with a whole new reading list. Enjoy the conversation.

Timestamps: 

00:00 Cold open — Akash on pivoting the plan, not the mission
00:40 Welcome & sponsor reads
02:00 Scot's intro: why this episode leans into founder lessons
04:15 Meet Akash Ganapathi and Austin Kelleher of Opine
05:02 Akash's background — Trill AI, dropping out of UNC, JupiterOne
08:53 Austin's background — Penn State, Interactive Intelligence, eBay, JupiterOne
10:50 How Scot got to know Austin (and shout-out to Melinda)
14:17 Founding Opine — bars, beers, and laptops after work
15:46 Quitting JupiterOne with no salary — Soylent, ramen, and a supportive spouse
18:01 The first check: Scot's year-old promise to Austin
19:21 The product-market fit journey and First Round's "Levels" framework
22:50 Pivoting the plan without pivoting the mission
26:16 How three founders debate without breaking the company
30:48 Amazon frameworks: one-way doors, two-way doors, and disagree-and-commit
34:36 What Opine actually does — the elevator pitch
36:43 State of the business: 15 people, doubling revenue
39:42 The go-to-market stack — Clay, HeyReach, AirOps
44:57 The dev stack — Claude Max, agents running 8+ hours, Cursor BugBot
50:30 Knowledge sharing, custom skills, and an NC-based engineering team
53:17 On company culture: lived, not documented
57:39 Austin's philosophy — you can increase your luck
01:00:46 Wrap and credits

Where to Find Everything:
Akash Ganapathi: https://www.linkedin.com/in/akash-ganapathi/
Austin Kelleher: https://www.linkedin.com/in/austinkelleher/
Opine: https://tryopine.com/

Where to Find Scot Wingo:
LinkedIn: https://www.linkedin.com/in/thescotwingo/
Tweener Times: https://www.tweenertimes.com/
X: https://x.com/scotwingo

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This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

In episode 2 of Redacted, David and Taylor get into the messy middle of building with AI inside a real business.

After compressing Offline from a 34-person team to a much smaller operating crew, AI stopped being a fun experiment and became a necessity. This episode is about what that actually looks like: rebuilding lead-gen workflows, trying to make HubSpot reflect reality, keeping AI agents alive like Tamagotchis, and testing whether Claude Code can help generate a real shareholder update from scattered company data.

What They Cover

• Why David and Taylor are sharing their AI experiments publicly
• How Offline compressed from 34 full-time employees to a much smaller team while still serving hundreds of restaurants and thousands of subscribers
• Why CRM cleanup is way harder than it sounds
• The difference between n8n workflows and locally built AI agent systems
• Taylor’s attempt to build a multi-agent flow for HubSpot cleanup
• The “AI existential crisis” that happens when a system kind of works, but not enough
• David’s shareholder update experiment using Claude Code
• How AI pulled context from financials, GitHub commits, payroll, board notes, and prior updates
• Why the best AI workflows are often context problems, not prompt problems

The takeaway: AI can do a lot more than send one email, but only if you teach it where the business actually lives.

Timestamps

00:00 — Welcome back to Redacted
00:36 — “Why should people even listen to us?”
02:07 — How Offline compressed from 34 employees to a tiny team
03:58 — The original AI lead-gen and CRM automation experiments
06:27 — Translating complicated human workflows into AI systems
07:00 — AI-powered inbound lead classification and HubSpot automation
08:09 — Using RSS feeds and AI to discover restaurant leads
08:52 — Where CRM automation becomes extremely difficult
10:16 — Why AI workflows become “Tamagotchis”
11:10 — Taylor’s multi-agent HubSpot cleanup system
12:18 — Why clean CRM data matters more than people think
13:08 — The tradeoff between API costs and AI workflow complexity
14:11 — The “unlock” of passing reasoning between LLMs
15:11 — Turning AI reasoning into actual HubSpot actions
16:41 — The AI existential crisis: “This will never work”
17:50 — Wanting AI systems that can simply ask questions when stuck
18:12 — PTSD from n8n and broken workflows
19:14 — Teaching AI systems to learn from mistakes
20:16 — The tradeoffs between local AI systems and n8n
21:59 — “Every CRM is chronically out of date”
23:57 — Why clean data is foundational for AI outbound sales
25:11 — Bottom-up vs top-down AI automation strategies
26:40 — The challenge of defining “objective reality” in business data
27:14 — David’s AI-generated shareholder update workflow
28:08 — Building “super skills” with Claude Code
29:18 — Mapping every data source needed for shareholder updates
31:00 — AI reading financials, GitHub commits, payroll, and board notes
32:14 — “I could’ve just written the shareholder update myself”
33:08 — How the shareholder update skill is structured
34:03 — The first AI-generated shareholder update draft
35:00 — AI recognizing profitability and company milestones automatically
35:40 — AI analyzing GitHub commits and engineering work
36:35 — Why this kind of context-heavy AI work matters
37:16 — Final thoughts and what’s next for Redacted

Where to Find David:
LinkedIn: https://www.linkedin.com/in/davidshaner/

Where to Find Taylor:
LinkedIn: https://www.linkedin.com/in/taylorcotner/

More about Offline: https://www.linkedin.com/company/offline-media-inc-/

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This episode of Redacted is hosted by David Shaner and Taylor Cotner, and presented and produced by NC Tweener Fund.

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

After Tweener Madness, we’re back to regular programming with a special conversation featuring Marc Minor, CEO & Co-Founder of Higharc.

In this episode, Marc talks about the long road to building fundamental technology, why Higharc spent years developing before going fully to market, how he found his co-founders, what he learned from early fundraising, and why AI has become a major tailwind for the business. 

Highlights Covered

• How Higharc applies advanced manufacturing concepts to homebuilding
• Why the company spent four years building before going to market
• How Marc raised Higharc’s first $4.7M seed round
• Why founders need confidence, conviction, and a willingness to ask
• How Higharc thinks about spatial AI and proprietary data
• Why “buildings as data” is a major competitive advantage
• What founders can learn from great storytellers
• Why peer groups are so valuable for CEOs

If there’s one takeaway from this conversation, it’s that great companies are rarely built overnight, but clear vision, strong storytelling, and relentless execution can take you a long way.

Timestamps

00:00 Cold open: Building takes longer than expected
00:31 Welcome to NC Tweener Talks
01:51 Back from Tweener Madness
03:00 Introducing Mark Minor and Higharc
07:36 What Higharc does
10:18 Mark’s path to the Triangle
11:23 From 3D printing to homebuilding
15:19 Taking the leap into entrepreneurship
17:20 Getting fired, getting encouraged, and starting Higharc
18:49 Four years of building before market
19:33 Early fundraising lessons
23:39 Raising the first $4.7M
24:24 Why Higharc had to de-risk technology and go-to-market
27:05 Finding technical co-founders
30:12 The technical problem behind Higharc
33:24 Where Higharc is today
35:26 How AI became a tailwind
37:02 Why Higharc builds homes as data
39:14 Training models for spatial AI
41:16 Asking buildings questions with AI
42:17 Competitive moats in an AI world
45:10 Advice for founders
46:04 Storytelling as a founder skill
48:10 Closing thoughts

Where to Find Marc
LinkedIn: https://www.linkedin.com/in/marcminor/
Higharc: https://www.higharc.com/company/about

Where to Find Scot Wingo: 
LinkedIn: https://www.linkedin.com/in/thescotwingo/ 
Tweener Times: https://www.tweenertimes.com/ 
X: https://x.com/scotwingo

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This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by NC Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/

On April 9th we hosted the Triangle’s first OpenClaw meetup (more info here). This week we’re featuring our final talk with Robbie Allen!

Robbie 20+ years building AI products. He ran engineering teams at Cisco, was CEO of three venture-backed AI startups that all exited, wrote multiple technical books for O’Reilly, and has over a dozen patents.

In his talk, Robbie covers:

• Why AI isn’t just automating tasks, it’s expanding the amount of work worth doing
• The difference between automating a task vs. automating a job
• Why most “multi-agent” systems are overcomplicated
• How a single-agent + shared knowledge base model can outperform role-based agents
• The real unlock: turning conversations into action, content, and execution automatically

This is one of the clearest looks yet at how agentic systems actually show up inside a business.

Timestamps

 00:00 – Intro + OpenClaw context 
 02:00 – Robbie’s background and ACG
 04:00 – Tasks vs jobs (and why that matters)
 06:00 – What an “agent” actually is
 07:00 – Why role-based agents break down
 08:30 – Claude Code vs OpenClaw
 10:00 – The 4-channel system
 11:30 – The 22-agent setup
 13:00 – Mining transcripts for content
 14:00 – From meeting → proposal in 30 minutes
 15:00 – Lessons learned (AI is emergent)

Where to Find Robbie:
LinkedIn: https://www.linkedin.com/in/robbieallen/
ACG: https://www.automated.co/

Where to Find Scot Wingo: 
LinkedIn: https://www.linkedin.com/in/thescotwingo/ 
Tweener Times: https://www.tweenertimes.com/ 
X: https://x.com/scotwingo

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This episode of Triangle Tweener Talks is hosted by Scot Wingo, presented and produced by Triangle Tweener Fund, with creative assets and design support from Walk West. 

We couldn’t share posts like this without our amazing sponsors: 

Platinum: 
NC IDEA: https://ncidea.org

Gold Sponsors: 
- Balentine: https://www.balentine.com/triangle-entrepreneurs 
- EisnerAmpner: https://www.eisneramper.com 
- Robinson Bradshaw: https://www.robinsonbradshaw.com 
 
Silver Sponsors: 
- Automated Consulting Group: https://automated.co 
- Bank of America: https://business.bofa.com/en-us/content/technology-industry-group.html 

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Triangle Tweener Talks is sponsored by:

• Atomic Object: https://atomicobject.com/