Free Daily Podcast Summary
Tech Stories Tech Brief By HackerNoon: Daily Summaries Delivered
by HackerNoon
Learn the latest tech-stories updates in the tech world.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 2 days ago10 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.
- 2 days ago5 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.
- 3 days ago5 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.
- 3 days ago5 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.
- 4 days ago8 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.
- 4 days ago8 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.
- 5 days ago16 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.
- 5 days ago7 min
A New Platform Going Live Is Not the Same as Completing a Migration
This story was originally published on HackerNoon at: https://hackernoon.com/a-new-platform-going-live-is-not-the-same-as-completing-a-migration. Why migrations should be measured by systems retired, legacy traffic eliminated, and old infrastructure switched off. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #legacy-system-migration, #enterprise-modernization, #system-decommissioning, #double-run-costs, #event-driven-architecture, #legacy-code-analysis, #infrastructure-modernization, #cutover-strategy, and more. This story was written by: @vrs0401. Learn more about this writer by checking @vrs0401's about page, and for more stories, please visit hackernoon.com. This article argues that migration programs are measured backwards. Moving workloads to a new platform does not create value if the legacy estate remains fully operational, leaving the organization to pay a double-run tax across infrastructure, staffing, licensing, audits, and synchronization.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from Tech Stories Tech Brief By HackerNoon in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's Tech Stories Tech Brief By HackerNoon daily summary?
It's a free AI-powered email that summarizes new episodes of Tech Stories Tech Brief By HackerNoon as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the Tech Stories Tech Brief By HackerNoon podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official Tech Stories Tech Brief By HackerNoon product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by HackerNoon.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts. Upgrade to Pro for 15, or Premium for 50. Browse our full catalog at /podcasts.
How often does Tech Stories Tech Brief By HackerNoon release new episodes?
Tech Stories Tech Brief By HackerNoon publishes daily. Our AI generates a summary within hours of each new episode.
What topics does Tech Stories Tech Brief By HackerNoon cover?
Tech Stories Tech Brief By HackerNoon covers topics including News, Business. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting Tech Stories Tech Brief By HackerNoon summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.