Flexprice
Usage-based pricing and metering for developers
What it does
Flexprice is a billing platform that helps launch & iterate pricing without dev bottlenecks. 🔓 Cloud or self-hosted ⚙️ No-code UI 💰 Usage-based pricing & metering 🎟 Credits & top-ups 🔑 Control feature access 🔗 Works with Stripe, Chargebee, & more
Does the same job
all alternatives →- FOFlexprice: Open-Source Usage-Based Billing Toolkit2025 · ▲7
Hey HN, I’am Koshima, co-founder of Flexprice (https://flexprice.io/). Flexprice is an open source monetization platform for AI & Agentic companies. You can build usage-based, credit-based, or hybrid pricing models with full control. Usage-based billing works on paper, but breaks fast in production: (1) High-volume data (e.g., 10k API calls/sec from AI inferences) breaks naive pipelines, dropping events and causing underbilling or customer complaints. (2) Backfilling missing events or retroactive discounts screws up invoices, forcing 3 AM log stitching to avoid revenue…
- NPNomod payment integrated into usage-based billing stackJan 2026 · ▲9
Hi HN, We just shipped a Nomod integration in Flexprice. For context, flexprice is an open-source billing system that handles invoices, usage, and credit wallets. One gap we wanted to close was supporting region-specific payment providers without breaking billing state. With this integration: - Invoices finalized in Flexprice can be synced to Nomod - A hosted Nomod payment link is generated for the invoice - Payment status updates flow back into Flexprice - Invoices and payment records stay in sync - Credits (if applicable) are applied only after payment succeeds This keeps billing logic…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, April 2025
the whole month →- IB
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
- UC
Life & fun · 2025 · filiph.github.io
- IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com
