Plint AI

Plint AI

TrustMRR

Plint AI is an architecture and interior design assistant. Goes from floor plans to client-ready interior designs in minutes. Plint AI transforms slow, manual architecture and interior design workflow

Plint AI is an architecture and interior design assistant. Goes from floor plans to client-ready interior designs in minutes. Plint AI transforms slow, manual architecture and interior design workflows into a fast, scalable design engine. 6,459 total users, 688 paying customers, $2000+ revenue generated to date in 60 days since lauch in India. Now expanding internationally.

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Actual performance

4customers
$76MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d-8.2%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
56%56% 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: users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, 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
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
21%21% 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
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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