Launch Intel
Ciocu

Ciocu

TrustMRR

Ciocu is an emotionally present AI companion whose whole face is two eyes. She sees you through your camera, listens while you hold eye contact, and answers in short, honest lines — with real depth in

Ciocu is an emotionally present AI companion whose whole face is two eyes. She sees you through your camera, listens while you hold eye contact, and answers in short, honest lines — with real depth in psychology, life wisdom and spirituality. Her memory of you lives on your device (synced across devices on paid plans) and is yours to export or empty. She's also reachable from any tool via an OpenAI-compatible API and MCP.

Visit productView on TrustMRRAug 18, 2026Artificial IntelligenceOtherdodopayment
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Actual performance

1customers
$9MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating3

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mcp, openai, open · Missing: mac, agents, macos
80%80% 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: compatible · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal
61%61% 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: 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.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
37%37% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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