Alternatives
Products that do what I built 10 ML algos from scratch because fit() predict() are not enough does
- 1IC
2019 · karma.fm
- 2AI
2011 · marbleo.us
- 3DM
2021 · github.com
- 4IM
2020 · fake.jsonresume.org
- 5IS
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
- 6HI
2013 · quantopian.com
- 7AG
2010 · puremango.co.uk
- 8AG
2014 · quantopian.com
- 9IW
2021 · github.com
- 10IM
2013 · arbitrarycounter.com
- 11MF
Wrote a program in FreeBASIC to try and find out how Genetic Algorithms work. It's a quick hack that I wrote to try some theories with because the Wikipedia Article on GAs reads like greek to me. So I built it from the general principles i knew at the time. The "genome" per individual is an array of 9000 integers but I used only monochrome pictures with either black or white; An individual also has a fitness score. There are 1000 individuals in the population and only two are selected to reproduce. So that makes 9 million (yes, MEELION as El Reg would write) data points and the scoring…
2015
- 12FM
2020 · github.com
- 13IM
Jan 2026 · github.com
- 14TM
Hey HN - spending time adding machine learning to your product is almost never worth it for startups. Formulating the problem, managing training data, training models, serving them, etc... for a 10% increase in some metric just isn't worth the time. Using rules + heuristics, although not optimal, does a pretty good job for a long time. There should be a better solution between rules & hardcore ML -- an 80/20 way to add ML to any product. Just slap it on top of the rules you already have, get that 10% gain, and never think about it again. I built an API that does just that. It's used by…
2021
- 15HL
2019 · medium.com
- 16II
2024 · medium.com
- 17IM
2019 · researchcue.com
- 18IM
Hi HN, I am a solopreneur in the evenings and a software engineer during the day. In the past, I have created lots of calculators for my web projects and freelancing friends. These were pretty basic, but users always welcomed them. I also used currently available builders, but the problem was that they were either slow, broke on mobile devices, had nonsense page view limits, or were expensive. Some even ticked all those boxes. So I have decided to create my own, with a simple interface, and called it Creative Widgets (if it ever takes off, I plan to add more exciting stuff like charts, etc,…
2024 · creativewidgets.io
- 19AM
2017 · github.com
- 20TO
2018 · modeldepot.io
- 21IM
2019 · npmjs.com
- 22IR
Democratisation of local AI is key. I've been working on pushing the limits of commercial hardware, squeezing any extra bit possible. My Scientific Agentic AI hareness helped me to reallocate every single bit of it. I rewrote the Kernel, I went down the CUDA rabbit hole until I have been able to explain any bit and any ms of computational power involved in the process pushing the Qwen 30B-A3B from 8 tok7s to 19 tok/s with llama.cpp up to 22.2 tok/s with my project and 109 tok/s on not novel content and speeding up the prefill by 5-9X
Jul 2026 · github.com
- 23II
2021 · getquantbase.com
- 24IM
2012 · github.com
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