Aidelly

Aidelly

TrustMRR

Aidelly is the agent-operated social platform for agencies. It is built to be run by AI agents (Claude, ChatGPT, Cursor), so your agency can serve 10x the clients without 10x the headcount. Your agent

Aidelly is the agent-operated social platform for agencies. It is built to be run by AI agents (Claude, ChatGPT, Cursor), so your agency can serve 10x the clients without 10x the headcount. Your agent publishes, engages, converts and analyzes competitors across 11 networks, while your team keeps control through approvals. Aidelly prices per workspace and team, not per seat, so adding staff or client approvers never increases the bill. Agency plan: unlimited client workspaces, white label.

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Actual performance

15customers
$962MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating10
MRR growth 30d-48.5%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, cursor · Missing: mac, macos, model
95%95% 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 · Missing: mobile apps, ios, personal
55%55% 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 · 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 · Missing: arr, mrr, revenue
45%45% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
35%35% 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: ide · Missing: https docs, excited, just released
16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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