Cooltechblogs POC: local-first blog post aggregator

Hacker News

Hi HN, inspired by PostHog's "cool tech jobs", cooltechblogs aggregates blog posts from tech companies who go out of their way to post great articles. <backstory> I've been pleasantly surprised by the thoughtful human content coming from some tech companies (fly.io is a great example). That led to the thinking: 1. The internet is better with thoughtful human content 2. Some tech companies encourage their humans to write thoughtful articles 3. Increasing awareness of these articles is good for readers and can incentivize companies to do more of this (since they like awareness) That combined with the itch to build my first real web app that uses sync to provide a realtime yet local-like user experience led to this frankenstein POC that combines rss feeds, realtime post ranking and the kind of instant interactions not yet typical in web apps. </backstory> It's not true "local-first" since it syncs data via a server but there's no user data being collected, except anonymized clicks on posts. Current functionality: • Feed of posts from selected tech co blogs • Click-tracking (max of 1 click registered per user) • Ranking in various time periods • Blog filter • Local-only reading list • OS-mode UI (inspired by PostHog) • Keyboard shortcuts for easy navigation I'd love to hear what anyone thinks!

Visit product View on Hacker NewsNov 28, 2025

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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: apps, user · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% 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: apps, way · Missing: mobile apps, ios, personal

34%34% 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

30%30% 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

13%13% 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.

Incorrect prediction on native model

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