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Later – Schedule URLs to open later

Hacker News

Later – Schedule URLs to open later

I built Later to scratch my own itch: I'd find interesting articles but not have time to read them, or I'd forget to join meetings because I was deep in code. Later is a browser extension + local daemon that lets you schedule any webpage to open at a specific time. Press Option+L, pick a time (or use presets like "In 1hr" or "Tonight"), and the page opens automatically – even if your browser is closed or you're in another app. Technical details: - Browser extension (Firefox + Chrome) for the UI - Python daemon (FastAPI + SQLite) handles scheduling and opens URLs via the system - launchd integration for auto-start on macOS - Everything runs locally, no accounts or cloud The daemon approach was intentional – it steals focus when the time comes, which is what you want for meetings. A pure extension would open tabs silently in the background. Built on a lazy Christmas afternoon with Claude Code. Happy to answer questions about the architecture or implementation.

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Actual performance

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2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, claude · Missing: agents, agent, cursor
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% 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 · Missing: mobile apps, ios, personal
36%36% 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
35%35% 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
22%22% 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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