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Transmit.dev – A fair, credit-based alternative to CPaaS vendors

Hacker News

Transmit.dev – A fair, credit-based alternative to CPaaS vendors

Hey HN — we built Transmit.dev because we were frustrated with how communication APIs keep hiking prices and forcing developers into tiers they don’t need. When Mailgun doubled their prices overnight, that was the last straw — so we decided to launch today. Transmit.dev is a developer-first communication API — starting with email today and expanding to SMS, voice, and chat next. We were tired of paying $20, $50, $100+ per month for plans we didn’t fully use. If you’re in e-commerce or run seasonal workloads, you know the pain — those unspent credits you already paid for just expire. That shouldn’t happen. Here’s how we fixed it: $0.50 per 1,000 emails Credits that last — no expiration BS Real-time billing and usage tracking Unified credit system across all channels Stack: Next.js 15 + Vercel (frontend) Convex + PlanetScale (backend) TypeScript everywhere We wanted something simple, fair, and transparent — so we built it. Would love feedback from the HN community, especially around developer experience, pricing clarity, and feature priorities (e.g. webhooks, logs, jobs, SMS). https://www.transmit.dev Cheers, Puches & the Transmit.dev team

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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: email, apis · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · 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, paid · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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