Alternatives
Products that do what Nagvex platform for execution and powp does
Learn, collaboration, creation,grow
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- 17IM
Hi HN! I'm Amber (13) and my dad Raj, and we built Nityasha AI from Guna, India. After my dad's 12 years of failed startups (2012-2023), we created a personal AI assistant that handles email, coding help, research, and planning in one conversational interface. I started coding at 9 on a 4GB RAM laptop. We failed 8 times before this—coupon sites, freelancing platforms, consulting. Nityasha is different: it uses Thesys generative UI for visual charts, includes Study Mode with Socratic teaching, and integrates everything so you don't need 10 tabs open. 500+ active users now. We just launched…
Oct 2025 · ai.nityasha.com
- 18YS
We been helping mid-market companies for the past 1.5 years and finally ready to share the internal platform publicly. Yansu (严肃) is a AI coding platform that use spec + TDD to build complex software projects. It is more like a SOP than coding agent. We focus on understanding requirements and checking outcomes against those requirements while iterating the code based on the tests. Yansu tries to learn as much tribal knowledge as possible. These are things you don’t write down in google doc or Notion. Yansu absorbs these knowledge by continuously talking to users and distilling learning from…
Nov 2025 · twitter.com
- 19WM
We've recently made our product, ozma.io, open-source. It's a CRM/ERP platform for building enterprise systems. We believe that AI will soon handle implementing most of the boilerplate and UIs in the specialized business software. Just look at what lovable.dev does today! Soon products which make creating business software easier for developers will become obsolete, or transform into "libraries" to be used by AIs. We are losing this race, so we go the second route — publish everything and go on building other products on top of it. GitHub repo URL:…
2025 · github.com
- 20WO
We built Weam because we felt existing AI tools didn’t work well for teams. Everything was scattered across chats, prompts, and workflows — hard to share, harder to organize. Weam is an open-source platform that tries to fix that. Organize prompts, chats, and agents into “Brains” (team folders). Run agents and even Pro Agents for workflows. Bring your own LLM keys (works with OpenAI, Anthropic, Gemini, Llama, etc.). Self-hosted, so you keep control of your data. Includes RAG pipelines for document-based AI. It’s early but we’d love feedback. Repo here:…
2025 · github.com
- 21LA
Hello HN! I'm an Android OS engineer. I've worked with AOSP and Linux kernels all my career and always wondered about lack of sophisticated tools to debug and analyze system-level logs. Always had to resort to manually skimming through large log files to find something I needed to. With the rise of LLMs and the AI-age, I felt it was a great opportunity to build something for OS engineers, which is what led to logcat.ai! We are building the industry-first observability platform for system level intelligence. Think "Datadog for operating systems" instead of applications. Currently, we support…
2025 · logcat.ai
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- 23FA
Hi HN, We're excited to introduce Fixstars AIBooster, our new performance engineering tool designed to significantly accelerate AI model training while optimizing GPU utilization. AIBooster provides: Real-time monitoring of GPU, CPU, memory, and power consumption. Clear visibility into performance bottlenecks, helping developers optimize AI workloads. Proven acceleration of AI training processes—users commonly achieve up to 2-3x speed improvements. Significant cost savings by maximizing infrastructure efficiency. It's free to try, requires minimal setup, and integrates seamlessly into your…
2025 · fixstars.com
- 24BE
Hey HN, We're excited to introduce Braintrust, a platform for running and tracking AI evaluations (“evals”) [1]. At my previous startup Impira and leading AI at Figma, we had this recurring problem where we never knew if changes we made to our products would improve or regress key user scenarios. We built some tooling to solve this problem and after talking to other developers learned that it was a widespread issue. Specifically, it’s challenging to establish a great dev loop that lets you systematically improve and ship high quality AI products. We worked with the teams at Zapier, Coda, and…
2023
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