DeployHermes

DeployHermes

TrustMRR

Hire persistent Hermes AI bots with a role, model, memory and skills. One click to a private runtime — missions, integrations, and receipts on every run. Integrate this with your Claude Code, Codex, a

Hire persistent Hermes AI bots with a role, model, memory and skills. One click to a private runtime — missions, integrations, and receipts on every run. Integrate this with your Claude Code, Codex, and let the agents manage your bots and then your work seamlessly.

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Actual performance

2customers
$48MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating6
MRR growth 30d-59.7%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor
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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
68%68% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% 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
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

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