Evalyze – AI investor matching from your pitch deck (feedback welcome)
I used to work in VC and watched good teams lose months chasing the wrong investors. I’m building Evalyze to make the unglamorous parts faster and more precise. After sign-up (email only, no card) you can: - upload a deck or paste your site - get a ranked list of relevant VCs/angels with a short “why” for each What’s different: instead of dumping a big list, we try to explain why an investor fits based on stage, sector, check size, and portfolio patterns. It’s far from perfect and we want blunt feedback before opening wider. Limits to know: - newer funds and emerging managers can be…
What it does
In the maker’s words, at launch
I used to work in VC and watched good teams lose months chasing the wrong investors. I’m building Evalyze to make the unglamorous parts faster and more precise. After sign-up (email only, no card) you can: - upload a deck or paste your site - get a ranked list of relevant VCs/angels with a short “why” for each What’s different: instead of dumping a big list, we try to explain why an investor fits based on stage, sector, check size, and portfolio patterns. It’s far from perfect and we want blunt feedback before opening wider. Limits to know: - newer funds and emerging managers can be underrepresented - geo nuances are still rough - matching can over-weight buzzwords if the deck is vague I’d love critique on the ranking logic, signals you’d add/remove, and any privacy concerns. If you don’t want to upload a deck, there’s a sample you can use to see the flow. I’ll be here replying and shipping fixes as comments come in.
Does the same job
all alternatives →




- VAVirtual Angel Investing market (built on AngelList)2011 · angelsq.co · ▲97
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 · 17d 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 · 27d ago · cactuscompute.com


Launched alongside, September 2025
the whole month →
- AS
Commerce · Sep 2025 · anycrap.shop
- TE
I made a built-from scratch Wayland Compositor to display any GUI app* in the terminal! I think there is a lot of unexplored potential in custom Wayland compositors, a lot of really cool things you can embed existing applications into! So, I started with embedding apps into the terminal because that is the easiest input/output (output is just utf-8 and I use the great `chafa` library for that, and I just read from stdin for the input). If you have any other ideas for cool Wayland compositors, let me know. I purposedly wrote 80% the app in Typescript to appeal to the most developers and…
Dev tools · Sep 2025 · github.com
- IR
Years ago I stumbled across a basic version of this concept and it stuck with me. I knew if I was ever going to take on such a project, it would need to be flawless, but without coding experience it was just another idea that would never happen. By the end of 2024, as AI coding tools exploded everywhere, I finally had a way to make it real. I started from zero knowledge and spent months collaborating with AI agents as a learning experience. Every pixel and every function went through me. The AI translated what I asked for into code, but every decision was human. I didn't use existing OS…
AI · Sep 2025 · mitchivin.com

