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Track official AI company news and blogs in your Chrome side panel

Hacker News

Track official AI company news and blogs in your Chrome side panel

I've already picked up so much great news and tips from here — thanks to the HNers for sharing. That said, I still find myself manually checking various official newsrooms and engineering blogs. To save myself from the constant 'tab hunting,' I built a small Chrome extension with a bit of help from Codex. It’s been working well for my workflow, so I figured I’d put it on the Web Store in case anyone else finds it useful. Since many companies don't provide (or they just neglect) RSS feeds anymore, I built it to fetch the pages directly and extract the links. I’ve limited it to one check per day to keep the traffic light. I’d love to get some feedback from you all so I can keep improving it. Thanks!

Visit product View on Hacker NewsApr 26, 2026

Actual performance

2points

1comments

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: codex, new, code · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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