Kapso – WhatsApp for developers

Hacker News

Hey HN, I'm Andres. I've been building Kapso as a solo founder, and just crossed 4,000 developers, all organic. WhatsApp has 3B+ users and 98% open rates. You'd expect developers to be building tons of stuff on it, especially when the US is the fastest-growing market in WhatsApp usage. But it’s not happening… And I'd bet it's because the DX is painful. Every team needs to build the same features again and again. Meta fires webhooks for everything. There's valuable data in there for debugging, but no way to make sense of it without building your own tooling. That’s why I built Kapso. What you get: - Working WhatsApp API + inbox in 2 minutes, not days - Full observability: every webhook parsed, every message tracked, actual debugging tools - Multi-tenant platform: generate a setup link, customer connects their Meta account, done - Workflow builder for deterministic automations and AI Agents - WhatsApp Flows: build mini apps inside WhatsApp using AI + serverless functions - Docs that work for humans and LLMs We're up to 95% cheaper than Twilio, with a generous free tier (2,000 messages per month). We also open source several tools: a TypeScript client for the WhatsApp Cloud API, a reference WhatsApp Inbox implementation, and a voice AI agent for WhatsApp. GitHub: https://github.com/gokapso/ Happy to answer questions! https://kapso.ai/

Visit product View on Hacker NewsDec 23, 2025

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

96%96% 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

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, month, users · Missing: mobile apps, ios, personal

61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, open source, ide · Missing: https docs, excited, just released

52%52% 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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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