Webhook API – inbound email –> webhook

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Hi HN, I often run into systems that can send email but cannot call a webhook directly I built a tool that creates an opaque email address <mailboxId>@hook.echovalue.dev and forwards inbound messages as structured JSON to a configured endpoint. It can also call a webhook from a cron schedule, so small scheduled jobs do not need their own worker There are built-in formats for Slack, Discord, Teams, Telegram and custom JSON templates. Pricing is pay-as-you-go and intentionally low. It is mostly there as an abuse limit rather than a subscription model Docs: https://docs.echovalue.dev/webhook/ any feedback?

Visit product View on Hacker NewsApr 27, 2026

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3points

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Did not reach leaderboard

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

85%85% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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 · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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