We

We built an open source, zero webhooks payment processor

Hacker News

We built an open source, zero webhooks payment processor

Hi HN! For the past bit we’ve been building Flowglad ( https://flowglad.com ) and can now feel it’s just gotten good enough to share with you all: Repo: https://github.com/flowglad/flowglad Demo video: https://www.youtube.com/watch?v=G6H0c1Cd2kU Flowglad is a payment processor that you integrate without writing any glue code. Along with processing your payments, it tells you in real time the features and usage credit balances that your customers have available to you based on their billing state. The DX feels like React, because we wanted to bring the reactive programming paradigm to payments. We make it easy to spin up full-fledged pricing models (including usage meters, feature gates and usage credit grants) in a few clicks. We schematize these pricing models into a pricing.yaml file that’s kinda like Terraform but for your pricing. The result is a payments layer that AI coding agents have a substantially easier time one-shotting (for now the happiest path is a fullstack Typescript + React app). Why we built this: - After a decade of building on Stripe, we found it powerful but underopinionated. It left us doing a lot of rote work to set up fairly standard use cases - That meant more code to maintain, much of which is brittle because it crosses so many server-client boundaries - Not to mention choreographing the lifecycle of our business domain with the Stripe checkout flow and webhook event types, of which there are 250+ - Payments online has gotten complex - not just new pricing models for AI products, but also cross border sales tax, etc. You either need to handle significant chunks of it yourself, or sign up for and compose multiple services This all feels unduly clunky, esp when compared to how easy other layers like hosting and databases have gotten in recent years. These patterns haven’t changed much in a decade. And while coding agents can nail every other rote part of an app (auth, db, analytics), payments is the scariest to tab-tab-tab your way through. Because the the existing integration patterns are difficult to reason about, difficult to verify correctness, and absolutely mission critical. Our beta version lets you: - Spin up common pricing models in just a few clicks, and customize them as needed - Clone pricing models between testmode and live mode, and import / export via pricing.yaml - Check customer usage credits and feature access in real time on your backend and React frontend - Integrate without any DB schema changes - you reference your customers via your ids, and reference prices, products, features and usage meters via slugs that you define We’re still early in our journey so would love your feedback and opinions. Billing has a lot of use cases, so if you see anything that you wish we supported, please let us know!

Share card

Actual performance

405points
223comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor
97%97% 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: para, including · Missing: supports, reddit linkedin, podcasting
86%86% 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, open source, existing · Missing: https docs, excited, just released
52%52% 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 · Strong signals: video, way, para · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

We
We launched our Serverless payment microservice Open Source61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We launched our Serverless payment microservice Open Source

Hacker News7
I
I built an open source Favicon API67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an open source Favicon API

Hacker News1
Op
Open Source NgTetris – tetris game built in Angular64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source NgTetris – tetris game built in Angular

Hacker News2
Bu
Built an open-source dashboarding MCP37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Built an open-source dashboarding MCP

Hacker News1
Sl
SlideSelection, an Open Source Hooper Selection Implementation47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SlideSelection, an Open Source Hooper Selection Implementation

Hacker News4
Pi
Piki is now open source73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Piki is now open source

Hacker News2
Op
Open Source CNC Beehive With Arduino and Sensors58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source CNC Beehive With Arduino and Sensors

Hacker News1
An
An Open-Source Intro to WebApps Curriculum72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An Open-Source Intro to WebApps Curriculum

Hacker News12
An
An Open-Source Resource for Combating Burnout52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An Open-Source Resource for Combating Burnout

Hacker News1
Po
Poll is now open-source58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Poll is now open-source

Hacker News1