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Snacker News; a hands-free HN. The more you eat, the more you learn

Hacker News

Snacker News; a hands-free HN. The more you eat, the more you learn

I made a hands-free HN reader using speech and face recognition Speak to navigate the feed; eat doritos to scroll an article Live demo (please use Desktop Chrome): https://funwithcomputervision.com/snacker-news/ This works in real-time in the browser using a regular laptop webcam All speech / face recognition is done locally (none of your data is stored) Tech stack: HN API, mediapipe face landmarks, web speech API Thanks for checking out my silly web app and I would appreciate any feedback!

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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: pipe, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: computer, new, using · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% 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
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, 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.

Incorrect prediction on native model

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