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Enterprise-grade open-source AI inference at unlimited scale.Open
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One-click OpenClaw setup with AI inference included, no token capOpen
Joseph Fleming🙏 4 karmaApr 9, 2026@Featherless - Managed OpenClawAwesome idea to have a unlimited token plan tied directly to a managed opnclaw instance. A little bit tricky to get setup without CLi access. but seems to work well once you get past that! -
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it integrates so well with my workspace, could be more responsive though! -
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BotDojo is one of the most powerful AI Agent builders I've found out there. As a non-technical marketer, it took me a minute to get familiar with the designer, but using the preexisting templates is super helpful! I am now running outreach 100% on autopilot. BotDojo personalizes the copy for each contact we reach out to by email and LI. It also takes care of the drip campaign that I run through Lemilist. LOVE IT! I really hope to see more templates coming up soon!
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Tried Synexa AI for a quick deployment last week—clean and straightforward. No clutter, just worked.
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the master tested the power of tripo3d and found it worthy. with only words as his weapon, forms took shape in mere moments. though some shapes needed guidance, the path was swift and free of tolls. for those who seek to build without burden, this tool offers much to learn from.
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VModel provides rich AI model resources, clothing display picture shooting becomes very easy!
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Really impressed by the multi-model planning and code review. Having different models collaborate instead of relying on just one actually leads to better decisions. You can feel the difference on more complex tasks.
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huge timesaver, had an ideea for an app to help me with my invoices and it made a working website without me needing to set up anything, I didn't even have to leave the chat to do this
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This is without doubt, the fastest and easiest way to compare and test different AI models side by side
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been using retell ai for last year.... Built over 50 voice agents for mysel and clients.... easy to use ...
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Why we built Elham.ai Elham.ai started as a personal project to compete in Kaggle competitions. While experimenting, we noticed something surprising: our AutoML engine consistently outperformed Microsoft Azure on key benchmarks. That was the turning point — what began as a personal tool for experimentation transformed into a full product. What makes Elham.ai unique: - Outperforms big players (like Azure) in real-world benchmarks. - Designed to be **simple, fast, and production-ready** for anyone who wants to turn their data into insights. - Built with the philosophy of *“AI for everyone”* — no steep learning curve, no endless configuration. What we’re most proud of: Turning a side project into a product that challenges industry giants. And now, opening it up for the community to explore and shape with us. Try it out here: [https://elham.ai](https://elham.ai)
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I am the founder of Heimdall and everything in this description about the product is incorrect.
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I'd been making API calls to GPT for a while and was looking for a good sustainable way to make a pipeline. I found Honey hive on this website and it's made my life a lot easier. I saw a lot of other alternatives and I'm sure they work just fine but honey hive was the first one I tried and it actually worked lol.
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EZClaws makes it easy to deploy OpenClaw for non-technical people.
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This is a powerful AI build for production, it is well-integrated and fast. It's not the easiest to learn, but if you need serious control and scale, it's worth the effort.
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it's wild how MLflow takes chaotic experiments and turns them into neat, tweakable apps.it's open source, dead-simple to install and crazy fast at loggin metrics. kudos to the dev :D
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Interesting to find a tool that could run different model types : GGUF, MLX and NPU formats in one installer. Would like to use it to prototyping my project.
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Finally, an AI that makes fine-tuning simple and fast. No infrastructure, no coding, just results. This is exactly what the community needs!
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Streamline security workflows with AI recommendations in JiraOpen -
Played around with this a bit — the benchmarking and evaluation side feels especially useful for teams testing multiple models at scale.
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AudioScribe has been really helpful for turning meeting recordings into clean transcripts without much hassle. I especially like the AI summaries and speaker identification, since they make it much easier to review long conversations and pull out the key points. Solid tool overall, and definitely worth a 5-star rating.
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Expert in building Python web services on Render.Open
