HNRelevant – Show related HN submissions in an integrated sidebar

Hacker News

While browsing Hacker News, I wished for an easier way to find related submissions (instead of googling and going back and forth). So I made this small chrome extension that automatically shows relevant submissions on page load. It's intergrated as a sidebar right in the page (for ease & native look), with customization options for fine control. It's based on HN algolia search API[1] and uses the submission title as its initial query with the ability to customize the query if you're not satisfied with the initial results. Originally, I took it as an opportunity to try my hands at creating a browser extension, but I was quite satisfied with the result and so I decided to release it. [1] HN algolia search API: https://hn.algolia.com/api

Visit product View on Hacker NewsMay 28, 2023

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

80%80% 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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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

34%34% 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

14%14% 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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