Allia

Allia

TrustMRR

Allia is not just one AI. It’s a universe of AI companions. Inside the app: • AI Girlfriend & Boyfriend • Therapist & Psychologist • Relationship Coach • Dietitian • Mentor • Dream Analyzer • Roleplay

Allia is not just one AI. It’s a universe of AI companions. Inside the app: • AI Girlfriend & Boyfriend • Therapist & Psychologist • Relationship Coach • Dietitian • Mentor • Dream Analyzer • Roleplay Characters …and more. Each companion has a distinct personality, tone, and energy. Supports text chat and voice conversations. Built with a scalable subscription model and an existing user base. Open to serious acquisition discussions. Feel free to message me. info@bugai.company

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Actual performance

9customers
$110MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d+710.4%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, apis · Missing: mac, agents, macos
69%69% 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.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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