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ProfileMagic – $10 AI LinkedIn headshots (20 photos, look natural)

Hacker News

ProfileMagic – $10 AI LinkedIn headshots (20 photos, look natural)

I recently launched ProfileMagic — a simple tool that turns your regular selfies into professional-looking LinkedIn headshots. You just upload a few casual photos, select your gender, and it generates 20 clean, natural headshots that actually look like you — not overly airbrushed or fake. I built this because I wanted something affordable and straightforward. Most tools I tried were either too expensive or made me look like a Pixar character. This one’s $10 for 20 photos — fast, no studio, no weird filters. Would love feedback from the HN community! → https://www.profilemagic.ai/linkedin-headshot

Visit product View on Hacker NewsApr 24, 2025

Actual performance

3points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, 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

48%48% 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.

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

32%32% predicted probability of success on Product Hunt, 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

29%29% 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

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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