Timeline – Auto-save X posts from your timeline with search and export

Hacker News

Hey HN! I built Timeline, a browser extension that automatically saves posts you encounter while scrolling through X (Twitter) timelines. Key features: • Automatically saves up to 100 posts you see in your timeline • Preview text and images before deciding to keep them • Search through your saved posts • Export data to JSON or use as a bookmark export tool • Fully open source (CC-BY-4.0) - no privacy concerns I got tired of losing interesting posts while scrolling, so I built this to capture them automatically. It's available on Chrome Web Store and works with Firefox/Edge too. Built with Preact and rollup. GitHub: https://github.com/RiverTwilight/Timeline Chrome Web Store: https://chrome.google.com/webstore/detail/timeline-x-history...

Visit product View on Hacker NewsAug 27, 2025

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2points

Did not reach leaderboard

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, open · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

32%32% 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

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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