GTM Strategy Agent for D2C Brands
Build a complete D2C launch strategy in 15 minutes — free
What it does
Most D2C brands sound like their competitors, price themselves wrong, and launch without a plan. This free AI agent fixes all of that in 15 minutes. Tell it about your product and get: → 3 target audiences identified from your product — not your assumptions → A unique brand positioning and tagline → A pricing strategy with real margin math → Sales channel recommendations with specific reasoning → A marketing playbook with copy you can use today → A 90-day week-by-week launch timeline
Does the same job
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- 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, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com