nowfound

Alternatives

Products that do what tracebloc does

Build better AI together. Without moving data.

  1. 1
    Synapis126

    Build & deploy AI models online – no code or hardware needed

    2025

  2. 2
    Zeroqode225

    Everything you need to build your next AI project

    2023

  3. 3

    The easiest way to build AI web apps

    2024

  4. 4

    Make machine learning work for you, not the other way around

    2022

  5. 5

    Create custom GPT-3 AI models in minutes, with No Code

    2022

  6. 6

    Build AI models and get predictions, no code required

    2023

  7. 7

    Bring AI to your database

    2023

  8. 8

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com

  9. 9

    No-code AI Lab: Train models, access datasets, run inference

    Feb 2026

  10. 10
    Builduo157

    Build SaaS backends with AI and deploy in minutes

    2025

  11. 11
    Tracea80

    Datadog for AI agents with traces, RCA, and team memory

    May 2026 · tracea.dev

  12. 12LS

    Hi, I built letsbuild.ai over the weekend. This is a link site dedicated to AI and can be edited via Github. There is well over 50 links already as a start. If you got interesting AI related links/ categories, would welcome any PR.

    2024 · letsbuild.ai

  13. 13
    RunInfra156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai

  14. 14
    Trace-AI146

    Know What You Ship. Secure What You Depend On.

    Oct 2025

  15. 15

    Learn how to build your next thing with AI and No Code

    2023

  16. 16
    Portals118

    AI Agent Builder Toolkit

    2025

  17. 17

    The fastest way to build your data warehouse

    2023

  18. 18

    Build, deploy, and run all your AI agents in one platform.

    May 2026 · app.aihive.global

  19. 19

    Production-tested architecture for autonomous Claude agents

    Apr 2026 · dvdshn.com

  20. 20TA

    Traces is a new way to share and discover agent traces. You can setup a personal or team account, and share publicly or privately (in a team). We use Traces internally to capture and share our agent conversations. Every PR has a Traces link attached to it. We even have skills that can automate that for you (run 'traces setup' after install). You might ask: 1) Why would I share traces? Well, we have found ourselves wanting to learn from each other on how to prompt different models and agents. We built Traces as a tool for teams to learn that together, and for us to learn that as an open…

    Mar 2026 · traces.com

  21. 21QS
  22. 22IB

    Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…

    Oct 2025 · github.com

  23. 23UY
  24. 24WB

    Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…

    Mar 2026 · enlidea.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →