Looktara

TrustMRR

Looktara is an AI photographer and photo product suite platform for all headshot, photography, photoshoot, social media assets and any static media needs. With over 4.5 rating on trustpilot and AI azure credits, the foundation of looktara is very strong which is proved by $22000 revenue in just 150 days of launch. We have achieved 15k+ verified users, and 65k+ Headshots are created on Looktara till date. The tool has immense potential to beat aragon, headshotpro and photoai

Visit product View on TrustMRROct 18, 2025SaaS Other B2C

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Actual performance

24customers

$626MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating9

MRR growth 30d-25.7%

Launch Intel predictions

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

71%71% 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.

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

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

43%43% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

30%30% 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: 000, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, 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.

Incorrect prediction on native model

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