Indie Hackers
WIP.co
Product Hunt
Makerlog
Maker Mag
Hacker News
Starter Story
Startup School
Neuro
Lobe
Opta
mlblocks
Machine Learning Playground
Banana.dev
Clever Grid
Cal.com
Indie Hackers NeuroBased on our record, Indie Hackers seems to be a lot more popular than Neuro. While we know about 75 links to Indie Hackers, we've tracked only 4 mentions of Neuro. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
- make use of sites like this and indiehackers.com, etc... To hear from other people in a similar situation. Source: 6 months ago
But as far as I know, indiehackers.com and X with #indiehackers or #buildinpublic hashtag. Source: 6 months ago
Just a personal website is a good place for that. But there are things like https://indiepa.ge/ or your personal profile on indiehackers.com - even though it may not be so much for "graveyard purpose". Source: 8 months ago
I am a Solo founder and looking forward to meet like minded people. Most of the time I turn to indiehackers.com for inspiration but have found very few Indians on it who have made it big as a solo founder. So I was wondering if there is any other forum where Solo founders meet and discuss / share their challenges / learnings to help each other. Source: 8 months ago
Check out https://indiehackers.com, a community for "solopreneurs". - Source: Hacker News / 9 months ago
Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago
So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: almost 3 years ago
A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: about 3 years ago
I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: over 3 years ago
WIP.co - Work in progress. We are a community of makers who help each other ship product.
Lobe - Visual tool for building custom deep learning models
Product Hunt - A website that lets users share and discover new products
Opta - Opta is a new kind of Infrastructure-As-Code framework designed for fast moving startups.
Makerlog - Makerlog is the dead-simple task log that helps you stay productive and ship faster.
mlblocks - A no-code Machine Learning solution. Made by teenagers.
