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Relay – SMS API for developers (send your first text in 2 min)

Hacker News

Relay – SMS API for developers (send your first text in 2 min)

Relay is an SMS API I built because integrating Twilio for a simple verification flow took me an unreasonable amount of time. The API is a single POST endpoint. You sign up, get an API key, and send a real SMS in under 2 minutes. Tech stack: Express.js API, AWS End User Messaging for delivery, PostgreSQL (Supabase), Redis rate limiting. SDKs for JS/TS, Python, and Go. Currently US/Canada only. Starting at $19/mo with 1,500 messages included. We handle 10DLC compliance and carrier registration. One thing that might interest HN: AI agents can create accounts and start sending via POST /v1/accounts/autonomous. No human verification required. Trust levels auto-upgrade based on delivery quality. Also released sms-dev as a free local dev tool (npm install -g @relay-works/sms-dev) for testing SMS flows without sending real messages. Docs: docs.relay.works | Site: relay.works

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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: agents, agent, user · Missing: mac, macos, cursor
67%67% predicted probability of success on Product Hunt, 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
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
28%28% 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
14%14% 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
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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