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Open-source platform for customer-facing Salesforce integrations

Hacker News

Open-source platform for customer-facing Salesforce integrations

We spent the past few weeks building Supaglue ( https://github.com/supaglue-labs/supaglue ) and would like to share an early public alpha version with you. Supaglue is an open source platform to help developers build customer-facing Salesforce integrations into their applications. Use code to define syncs for pulling objects from Salesforce into your application. Embed functional and customizable React components for your customers to configure these syncs. Why? - We built user-facing HubSpot and Salesforce integrations in a previous product we worked on and did not find an existing solution that let us build it quickly, using code, and that supported custom business logic, so we built in-house. - There were some unified API products we evaluated, but they lacked depth, e.g. support for custom fields and objects. - There were UI-based workflow builders, but we did not want to click around in a UI tool to author business logic. - None of the options we evaluated came with ready-to-use React components, nor were they customizable. With our public alpha you can: - On a schedule, sync Accounts, Contacts, Leads, and Opportunities from Salesforce into your application - Customize where syncs write to (Postgres or an API endpoint), as well as its retry behavior - Author syncs using Typescript - Offload the full OAuth flow and token management to our backend and frontend components - Embed React components for OAuth, field mappings, on/off toggles, and manual syncs into your Next.js application - Deploy sync code and monitor sync status using a CLI - Open source MIT license so anyone can self-host We’re very early: we started working on this after the new year and are releasing a public alpha to get early feedback. You can run Supaglue locally using docker compose today. Try it out and send us a note! Website: https://supaglue.com . Github: https://github.com/supaglue-labs/supaglue .

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock, new · Missing: mac, agents, macos
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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, lua, open source · Missing: https docs, excited, just released
60%60% 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
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, builder · Missing: plus, intuitive, reviews
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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