Signal Pricing - Quarterly Pricing Data
Signal Pricing runs quarterly willingness-to-pay interviews
What it does
Most founders guess their launch price or copy a competitor. Either way, they're leaving money on the table. Signal Pricing fixes that. Every quarter, we interview your real customers, run them through a simulation of your pricing page, and deliver one report telling you exactly what to charge. What you get: 5 customer interviews, a live WTP dashboard, and one clear action item. You send one email. We handle everything else. $599/quarter. Built for anyone who charges for something.
Does the same job
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- WBWe Built a Dashboard for Merchants to Track and Optimize Payment Fees2025 · hypersense.io · ▲15
Hello HN Viewers, So this all started when we got super frustrated trying to figure out payment fees. You know how it goes – you have got a bunch of payment providers, each with their own fee reports, and trying to make sense of all that mess is quite challenging and complex. We thought, why not just build something that pulls all those fee reports together, cleans them up, and makes them actually understandable? So we built a tool that pulls in fee reports from multiple providers, standardizes fee names, and makes it easier to understand all fee types. You can drill down to see the exact…
- FOFind out if your SaaS is underpriced in 10 minutesApr 2026 · github.com · ▲7
GTM iteration is slow by nature. Test the price, wrong. Fix the message, doesn't convert. Try a new audience, wrong segment. Pick a channel, no traction. Each mistake costs a month. By the time you've iterated to something that works, the market has moved - especially now, when AI is reshaping what buyers want every quarter. We built RightSuite to compress that cycle. Describe your offer and target audience. The system runs it through a synthetic buyer population and tells you what's likely broken before you go live. It won't replace talking to real customers. Nothing does. But it means you…
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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 · 17d ago · simedw.com
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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 · 27d ago · cactuscompute.com
Launched alongside, April 2026
the whole month →
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Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
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Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
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Life & fun · Apr 2026 · sam-burns.com
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app