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Enterprise-grade open-source AI inference at unlimited scale.Open
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Paulinus J🛠️ 1 toolJan 22, 2026@Raghim AIAs founder, this was a great product for working on for enterprise teams, and looking forward to more releases -
I like Needle very much, it helps me a lot as it saves me so much time that I would otherwise waste on unnecessary searching, thank you very much Needle :) -
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🚀 New Release Highlights ✅scalerX.ai Utility Token (SLXT) on Base ✅SLXT is introduced as a protocol utility token supporting usage, staking, and internal incentive mechanics within scalerX.ai ✅Token interactions are tied to measurable platform activity (automation runs, AI requests, and system usage), not external market behavior ✅Staking with SLXT enables participation in protocol mechanics rather than ownership, profit rights, or revenue claims ✅SLXT issuance and distribution follow predefined, usage-based rules and are transparently observable on-chain ✅SLXT is designed to align long-term platform usage with protocol resource allocation and governance pathways 🐞 Major Stability Improvements & Bug Fixes SLXT Economy: https://token.scalerx.ai/
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Great product to offload the data analytics workflow.
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We have conducted a practical test on this software, and its comprehensive operational performance is excellent. Despite being a newly launched product, it boasts outstanding operational stability; crucially, it adopts a budget-friendly pricing model with prominent cost performance, which makes it highly adaptable and user-friendly for startups and independent AI developers.
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TendemTask automation -
Chain AI tasks with no-code into workflows for chatbots, video, documents, andOpenThis tool removes all of the prep work of getting an LLM API endpoint running. I can try out ideas quickly and see within minutes whether an endpoint concept actually works. And when it does, moving it into a production app is about as easy as it gets. -
OpenAnythingLLM is easy to use, and allows us to build private databases using several (any) kinds of media (text, pdf, audio, etc) and use it as a source of knowledge for any LLM you might wonder to experiment!
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