DispatchSEO – open-source SEO manager tool for Claude Code

Hacker News

This SEO tool is similar to traditional ones: Semrush, SEObot and Outrank Key features: - research keywords - analyze rankings - create content workflows - monitor search performance Tech stack: - NextJS 16 (React 19, App Router) - TypeScript - Tailwind v4 - PostgreSQL (bundled container self-hosted, Supabase in cloud) - MCP server (mcp-handler + u/modelcontextprotocol/sdk) - Claude Code, headless, in a container (the builder) - Docker Compose (app + db + cron + builder) - GitHub Actions (schedules and PRs on your repo) - Google Search Console API + DataForSEO + SerpApi - Resend (email alerts) Fully open-source (AGPL-3.0)

Visit product View on Hacker NewsJul 30, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

98%98% 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 · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

34%34% 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 · Missing: arr, mrr, revenue

15%15% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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