Bae by ppl.studio

Bae by ppl.studio

TrustMRR

Bae is an AI partner builder with persistent memory, made by ppl.studio. You pick from 18 hand-written archetypes (or take a two-minute quiz to be matched), choose a face, set a voice register, and st

Bae is an AI partner builder with persistent memory, made by ppl.studio. You pick from 18 hand-written archetypes (or take a two-minute quiz to be matched), choose a face, set a voice register, and start talking — three minutes, no login. The free tier holds the past 7 days of memory and runs the relationship arc through Crush; Bae Pro ($2.99/week or $99/year) keeps memory forever, opens the arc all the way to Forever, removes the daily-message and weekly-selfie limits, and unlocks Spicy mode.

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Actual performance

23customers
$242MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating5
MRR growth 30d-36.9%

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
62%62% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
44%44% predicted probability of success on Indie Hackers, 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
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
29%29% 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
23%23% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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