Tech Stories Tech Brief By HackerNoon

Tech Stories Tech Brief By HackerNoon

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Tech Stories Tech Brief By HackerNoon episodes

  • Applaa AI Earns a 48.27 Proof of Usefulness Score by Building an Offline Agentic AI Learning Platform

    This story was originally published on HackerNoon at: https://hackernoon.com/applaa-ai-earns-a-4827-proof-of-usefulness-score-by-building-an-offline-agentic-ai-learning-platform.


    Meet Applaa AI, an offline agentic learning platform helping students prepare for GCSEs, A-Levels, SATs, and other major exams.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #proof-of-usefulness-hackathon, #algolia, #ai-in-education, #online-education, #gamification-in-education, #edtech, #ai-search, #applaa-ai, and more.


    This story was written by: @raj-mp. Learn more about this writer by checking @raj-mp's about page,
    and for more stories, please visit hackernoon.com.


    Applaa AI is an agentic learning platform offering personalized exam preparation for students aged 14 to 18. The platform reports serving more than 500 active students each month and earned a Proof of Usefulness score of 48.27.

    6 min
  • Meet the Hackathon Winner: SpyderBot on the Future of Brand Discovery in AI Search

    This story was originally published on HackerNoon at: https://hackernoon.com/meet-the-hackathon-winner-spyderbot-on-the-future-of-brand-discovery-in-ai-search.


    Meet SpyderBot, winner of a Bright Data award in the Proof of Usefulness Hackathon, building real-time analytics for brand visibility across AI platforms.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #proof-of-usefulness-hackathon, #proof-of-usefulness, #hackernoon-hackathon-winners, #spyderbot, #bright-data, #ai-search-analytics, #ai-crawler-tracking, #hackernoon-top-story, and more.


    This story was written by: @proofofusefulness. Learn more about this writer by checking @proofofusefulness's about page,
    and for more stories, please visit hackernoon.com.


    SpyderBot is a pre-launch GEO analytics platform that helps brands track how large language models mention, rank, cite, and recommend them. The company earned a 96.53 Proof of Usefulness score and plans to use Bright Data to improve the scale, freshness, and geographic accuracy of its market intelligence.

    5 min
  • Boring Tech Has Survived a Thousand Tuesdays

    This story was originally published on HackerNoon at: https://hackernoon.com/boring-tech-has-survived-a-thousand-tuesdays.


    New technology may shine in demos, but boring tools survive production. Learn how to spend innovation where it delivers real value.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #technology, #api, #backend-development, #branding, #community, #concurrency, #boring-technology, #software-reliability, and more.


    This story was written by: @dvdcst. Learn more about this writer by checking @dvdcst's about page,
    and for more stories, please visit hackernoon.com.


    New technology may shine in demos, but boring tools survive production. Learn how to spend innovation where it delivers real value.

    5 min
  • Onton's New AI Trust Model Beats Google and Amazon at Product Accuracy

    This story was originally published on HackerNoon at: https://hackernoon.com/ontons-new-ai-trust-model-beats-google-and-amazon-at-product-accuracy.


    Onton launches a from-scratch AI trust model that beat Google Shopping and Amazon on accuracy benchmarks, targeting synthetic content as agents take over buying
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #onton-ai, #agentic-commerce-trust-layer, #good-company, #ai, #e-commerce, #technology, #onton, #startup, and more.


    This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page,
    and for more stories, please visit hackernoon.com.


    Onton, the San Francisco product discovery engine with 2M+ monthly active users, has launched a from-scratch AI model built to judge whether product information can be trusted, aimed at the agentic web where AI systems research and execute purchases for people.
    In head-to-head benchmarks against Google Shopping and Amazon, Onton says its model outperformed on accuracy across essentially every dimension tested, with the widest gap in interpreting the veracity of product information. The claim is backed by a whitepaper.
    The launch lands as AI-referred retail traffic explodes: up 693% YoY over Holiday 2025 and up 1,324% cumulatively since October 2024, per Adobe Analytics, while an estimated 30% of online reviews are fake, costing US businesses roughly $152B a year.
    Onton says the model learns entirely on its own and shows signs of generalizing beyond e-commerce, positioning the company to offer a trust layer for the broader internet, available today on Onton.com and case by case to partners. Onton's trust and authenticity model, launched July 29, 2026, is a from-scratch AI system that evaluates whether product information online can be trusted. In benchmarks it outperformed Google Shopping and Amazon on accuracy, especially at judging the veracity of product data. It learns autonomously, shows signs of generalizing beyond e-commerce, and is available on Onton.com and case by case to agentic web partners.
    What did Onton launch in July 2026? A from-scratch AI trust and authenticity model for the agentic web that evaluates whether product information can be trusted.
    How does Onton's model compare to Google Shopping and Amazon? In Onton's head-to-head benchmarks, backed by a whitepaper, the model outperformed both on accuracy across essentially every dimension tested.
    Why does agentic commerce need a trust layer? Roughly 30% of online reviews are estimated to be fake, and AI-referred retail traffic now converts up to 54% better than other channels, so manipulated inputs directly drive high-value purchases.
    Who can use Onton's trust model? All users on Onton.com today, and partners building on the agentic web on a case-by-case basis.

    11 min
  • How BlackBerry Reinvented Itself After Losing the Smartphone War

    This story was originally published on HackerNoon at: https://hackernoon.com/how-blackberry-reinvented-itself-after-losing-the-smartphone-war.


    Many people have come to believe that Blackberry's story has ended. But today, the company is powering hundreds of millions of devices, particularly vehicles.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #blackberry, #why-did-blackberry-fail, #good-times-of-blackberry, #blackberry-comeback, #blackberry-qnx, #embedded-automotive-software, #qnx-operating-system, #blackberry-reinvention, and more.


    This story was written by: @talktechtome. Learn more about this writer by checking @talktechtome's about page,
    and for more stories, please visit hackernoon.com.


    Most people don't realize they are using BlackBerry products. While the brand disappeared from our pockets, it somehow moved into cars, and more high-stake devices.

    6 min
  • Hiddenkick AI Earns a 44 Proof of Usefulness Score by Building an ML-Powered Scouting Platform

    This story was originally published on HackerNoon at: https://hackernoon.com/hiddenkick-ai-earns-a-44-proof-of-usefulness-score-by-building-an-ml-powered-scouting-platform.


    Hiddenkick AI earned a 44 Proof of Usefulness score for using machine learning and computer vision to improve football transfer decisions.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #proof-of-usefulness-hackathon, #hackernoon-hackathon, #hiddenkick-ai, #football-analytics, #ai-scouting-platform, #computer-vision-in-sports, #tactical-analysis, #sports-technology, and more.


    This story was written by: @usefulnessreports. Learn more about this writer by checking @usefulnessreports's about page,
    and for more stories, please visit hackernoon.com.


    Hiddenkick AI uses machine learning and computer vision to help football clubs assess player fit, tactical compatibility, and transfer risk. The platform is already deployed at MCA and earned a 44 Proof of Usefulness score.

    6 min
  • Formatif Earns a 44 Proof of Usefulness Score by Building a 100% Offline, Local-First Desktop Media Processing Suite

    This story was originally published on HackerNoon at: https://hackernoon.com/formatif-earns-a-44-proof-of-usefulness-score-by-building-a-100percent-offline-local-first-desktop-media-processing-suite.


    Formatif earned a 44 Proof of Usefulness score for running 59 media-processing and AI enhancement tools entirely on local hardware.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #proof-of-usefulness-hackathon, #hackernoon-hackathon, #formatif, #local-first-software, #offline-media-processing, #onnx-runtime, #batch-image-processing, #software-engineering, and more.


    This story was written by: @hadikaraki. Learn more about this writer by checking @hadikaraki's about page,
    and for more stories, please visit hackernoon.com.


    Formatif is an offline desktop suite that uses local hardware for video, audio, image, and AI-powered media processing. It earned a 44 Proof of Usefulness score.

    6 min
  • How to Build a Private Microsoft Teams Clone

    This story was originally published on HackerNoon at: https://hackernoon.com/how-to-build-a-private-microsoft-teams-clone.


    A step-by-step guide to building an on-premises Microsoft Teams alternative with messaging, calls, meetings, and file sharing.

    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #virtual-meeting-software, #chat-api, #video-call-sdk, #implement-a-video-call-app, #build-a-video-chat-app, #microsoft-teams-clone, #mirrorfly-sdk, #on-premises-communication, and more.


    This story was written by: @sam. Learn more about this writer by checking @sam's about page,
    and for more stories, please visit hackernoon.com.


    The article explains how to build a self-hosted Microsoft Teams-style platform using MirrorFly, covering its architecture, core features, technology stack, and Android SDK setup.

    9 min
  • AI Coding Tip 029 - Assign a Different Model to Each Pipeline Stage

    This story was originally published on HackerNoon at: https://hackernoon.com/ai-coding-tip-029-assign-a-different-model-to-each-pipeline-stage.


    Assign a different model to each pipeline stage since none excels at planning, coding, reviewing, and testing alike.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #technology, #programming, #ai-coding-tip-029, #ai-tip, #ai-pipeline, #stop-using-one-model, #stop-usine-one-ai-model, #hackernoon-top-story, and more.


    This story was written by: @mcsee. Learn more about this writer by checking @mcsee's about page,
    and for more stories, please visit hackernoon.com.


    Assign a different model to each pipeline stage since none excels at planning, coding, reviewing, and testing alike.

    9 min
  • What 200 SAST Triage Sessions Taught Me About Application Security

    This story was originally published on HackerNoon at: https://hackernoon.com/what-200-sast-triage-sessions-taught-me-about-application-security.


    Lessons from 200 SAST triages on false positives, operational risk, scan scope, pull-request gating, and what static analysis misses.
    Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
    You can also check exclusive content about #sast, #application-security, #security-triage, #vulnerability-management, #secure-cicd, #pull-request-scanning, #security-tooling, #threat-modeling, and more.


    This story was written by: @sgantikota. Learn more about this writer by checking @sgantikota's about page,
    and for more stories, please visit hackernoon.com.


    The author argues that roughly 95% of SAST findings encountered across years of production triage were repetitive false positives, low-risk issues, or findings outside the deployed application. The valuable work lived in the smaller set of externally reachable authorization flaws, direct object references, cryptographic mistakes, injection vulnerabilities, and information leaks.

    17 min

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