Flowly – Managed Clawdbot in 5 min

Hacker News

Hi HN, I spent 3 hours trying to set up Clawdbot (OpenClaw) (an open-source AI assistant for messaging apps) and thought there had to be a better way. Clawdbot is great - it's like ChatGPT but runs in WhatsApp, Telegram, and Discord on your own server. The problem? Setup is brutal: SSH, Node.js 22, systemd, API keys, platform integrations... So we built Flowly to automate it. What it does: - One-click VPS provisioning (Hetzner) - Automated Clawdbot installation & config - Platform connection wizards (QR codes for Telegram/WhatsApp) - Usage monitoring, model switching, auto-reconnect Self-hosted (your data, your server) but SaaS-easy to deploy. Technical details: - Hetzner Cloud API for VPS provisioning - Automated deployment via SSH - Supports multiple AI models (Claude, GPT, Gemini) - $25/mo (includes VPS + platform + api credits) We launched 4 days ago. Early users have processed 40M+ tokens already. Try it: https://useflowlyapp.com Happy to answer any technical questions!

Visit product View on Hacker NewsJan 30, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, gemini · Missing: reddit linkedin, podcasting, created

94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, apps · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, users, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, users · Missing: plus, intuitive, reviews

39%39% predicted probability of success on AppSumo, 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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

25%25% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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