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A smile filter that adds a natural-looking smile

Hacker News

A smile filter that adds a natural-looking smile

Hi HN — I made a small browser tool that adds a subtle, natural-looking smile to portrait photos. Why: I often needed a quick “smile version” for profile pics and headshots without manually retouching. How it works: upload a photo → choose a smile style/strength → generate → download. Limits: best results with a clear, front-facing face; strong side angles or heavy occlusion can look off. I’d love feedback on realism (teeth/cheeks/eyes), and any failure cases you notice.

Visit product View on Hacker NewsDec 23, 2025

Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

41%41% 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.

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

40%40% 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

37%37% predicted probability of success on Indie Hackers, 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.

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

17%17% 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

15%15% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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