PitchPower – AI powered proposal generation for consultants
Hey HN! I'm an indie hacker who builds SAAS products in my free time. I've got a friend who runs a small consulting firm and said this would be a useful tool for them so i thought why not release it as a standalone online tool for everyone. Basically the premise is, you enter some information about your services (or we just scrape your website and figure it out). Then you enter a description of the client brief, tweak the outline, and out comes a unique tailored proposal that you can tweak with AI. That's pretty much it! Would love to hear your thoughts. Thank you.
Does the same job
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- IMI made a tool to help collect and validate startup ideas2024 · keepmyidea.app · ▲38
Hey HN, I’m Kyrylo. I recently created a small tool that lets you gather, refine, and validate SaaS/startup ideas using AI. I used to jot down my product ideas in a note apps, but it wasn’t very practical for collecting feedback or refining them. So, I built this tool to make the process easier. Here’s how it works: 1. Enter a brief description of your idea. 2. The app uses AI to generate project details. 3. Share your idea via a link that includes a feedback form. It’s pretty straightforward, and I’d love to hear your thoughts or any suggestions!
- IMI'm offering consulting for non-technical folks and startups2011 · ▲31
Inspired by a good friend who did Unstick.me, as well as the recent MVP for 1k project, I've decided to give consulting a shot by offering my services as a developer and product guy to non-technical folks and early-stage web startups who are looking to brainstorm on both the technology and product side, and possibly looking to have an MVP built based on their idea. I started accepting requests the other day solely with a Wufoo form, and just launched a proper one-page site here: http://youshouldworkwith.me/ Curious to hear feedback on the offer and idea in general. It's the first time I've…
- IBI Built a Paul Graham AI Advisor for Founders and Hackers2025 · paulgraham.resurrect.space · ▲21
Hey, just wanted to share with you guys and app that I built and deployed in a day with Lovable. So, as a founder I always wanted to have an advisor but my budget would always be less, then on the other hand hand I had Paul's essays on Startup Advice, which I never read because I was busy building stuff. Hence, I built this product which comes into a sweet spot of both at the same time being more reasonable and capable than the alternative. ps: it's running on a reasoning model and tbh I've been able to gather pretty good insights from it. Note to PG: If you're seeing this. I'm your big fan.…

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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
Astute▲585Automate your B2B brand going viral, with new media creators
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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, August 2023
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Lottielab▲871Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com