An open source app for navigating CS conferences

Hacker News

Hey HN, I wrote a single app that pulls all of a conference's workshops, talks, papers, and posters into one place. You can search everything, star what you care about, and sync across devices with a passcode. When I went to CVPR this year, I was annoyed that I couldn't find talks from all ~150 workshops in a single place. Papers could be pulled from Scholar Inbox, but then they wouldn't live alongside workshops. I decided to build my own app with Claude Code and push it to Cloudflare. I used my own experience & feedback from friends and colleagues to refine it along the way. It's open source - feel free to clone my app and adapt it for your next conference! Even better if you pay it forward and host an instance for other attendees. Live demo (CVPR 2026): https://cvpr2026.mileshutson.workers.dev Coolest hidden feature: Use agent workflows to choose papers that match your tastes, then use the app's import feature to get a "Robot picks" tab.

Visit product View on Hacker NewsJun 25, 2026

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

97%97% 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.

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

22%22% 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

17%17% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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