Syncd – Typed SDK and CLI for Webhook Integrations at Scale

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Hi everyone! Thomas here - founder of Syncd. Syncd is a suite of SDK's, CLI's, packages, and dashboards that make webhook creation and management super easy (especially at scale). Previously, we specialized in logging and OAuth token management for internal webhooks. Now, we’ve expanded our offerings with a fully typed SDK that allows you to easily register and manage your customers’ webhooks (not just your own internal). With just a few lines of code, you can now build a comprehensive end-to-end webhook integration for your customers (for example - Airtable webhooks or Jira webhooks). Once you use the SDK to create a webhook (either internal or on your users behalf) all of this is setup in the background: - logging - custom retry schedules - custom headers - security for SSRF and replay attacks - rate limiting - local tunneling via our CLI (no more NGROK urls) - importable webhook endpoint types (no more manually generating types) - Zod schema validations - importable hooks (so you don't have to interact with a providers REST API) I’d love to hear thoughts and suggestions!

Visit product View on Hacker NewsJul 24, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, grok, code · Missing: mac, agents, macos

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% 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

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2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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