PolyTell-AI Chrome extension that shows Polymarket odds as you browse

Hacker News

Hey HN, I built PolyTell, a Chrome extension that uses AI to analyze news articles and tweets in real time, then surfaces relevant Polymarket prediction market odds directly inside the page — no tab switching required. How it works: Visit any news site or scroll your X/Twitter feed PolyTell's AI reads the content, extracts key events, and matches them against live Polymarket markets Inline cards appear right below the relevant content showing the market question, current odds, and a one-click bet button For example, if you're reading an article about tariff policy changes, PolyTell will automatically find the matching Polymarket contract and show you the current price — all without leaving the page. It supports both English and Chinese, and works with infinite-scroll feeds like X. In the demo video below, you can see it analyzing a news article (5 events matched), then switching to the X timeline where it picks up 10 events and generates 10 bet recommendations across tech, politics, and business categories.

Visit product View on Hacker NewsFeb 26, 2026

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% predicted probability of success on AppSumo, 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

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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