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Tenstorrent Unveils Galaxy AI Platform Targeting Scale and Efficiency

https://www.forbes.com/sites/davealtavilla/2026/04/28/tenstorrent-unveils-galaxy-ai-platform-targ...
1•monkeydust•1m ago•1 comments

UX StackExchange – less questions, less answers

https://data.stackexchange.com/ux/query/625041/count-questions-and-answers-by-year#graph
1•s4074433•3m ago•1 comments

What masterpiece might Molière have written if he hadn't died in February 1673?

https://moliere-ex-machina.fr/en/
2•snoren•5m ago•0 comments

StackOverflow's Alarming Q+A Drop

https://data.stackexchange.com/stackoverflow/query/625041/count-questions-and-answers-by-year#graph
1•s4074433•6m ago•1 comments

Homemade and Minimalist Agent Composer

https://en.andros.dev/blog/ed26ea98/homemade-and-minimalist-agent-composer/
1•andros•6m ago•0 comments

Small Model Forensics

https://blog.0xmmo.co/forensics/post.html
1•mmoustafa•6m ago•0 comments

Scaling Inventory Reservations

https://shopify.engineering/scaling-inventory-reservations
1•prognostikos•8m ago•0 comments

Attention Once Is All You Need: Stateful Transformers

https://arxiv.org/abs/2605.13784
2•logotype•8m ago•0 comments

After 8 years, I rewrote my open-source PyTorch curvature library

https://github.com/noahgolmant/pytorch-hessian-eigenthings
1•noahgolmant•12m ago•1 comments

Show HN: Kubesearch, search through Kubernetes YAMLs from homelabs

https://kubesearch.dev/
1•whazor•13m ago•0 comments

The beauty of Human Hands – and how far is Robotics

https://blog.chiragmadaan.com/posts/beauty-of-human-hands/
2•sankalpmukim•17m ago•0 comments

AI Search Visibility: The Practical Guide to Generative Engine Optimization

https://chatbenchmark.com/blog/ai-search-visibility-geo-guide/
2•zbiku•18m ago•0 comments

The Cost of Cloud, a Trillion Dollar Paradox (2021)

https://a16z.com/the-cost-of-cloud-a-trillion-dollar-paradox/
2•naves•18m ago•0 comments

Patient-Friendly Maternity Gown for Healthcare Facilities

1•nehagstc•19m ago•0 comments

Poppy – Dynamic Instrumentation Pipeline for macOS Security Research

https://github.com/jetnoir/poppy
1•ethical•21m ago•0 comments

What the Hell Was Going on with Cigarette Ads in the 70s?

https://tohippo.com/what-the-hell-was-going-on-with-cigarette-ads-in-the-70s/
2•Vasbarlog•23m ago•0 comments

Bring any agent into a meeting – talk back, collaborate, screen share, code live

https://www.youtube.com/watch?v=d4DD8HP65pU
3•anand_pattern•24m ago•0 comments

The Bird Eye Was Pushed to an Evolutionary Extreme

https://www.quantamagazine.org/how-the-bird-eye-was-pushed-to-an-evolutionary-extreme-20260513/
3•sohkamyung•31m ago•0 comments

AI chatbots are giving out people's real phone numbers

https://www.technologyreview.com/2026/05/13/1137203/ai-chatbots-are-giving-out-peoples-real-phone...
5•joozio•40m ago•0 comments

AI is using our Open Source code to replace us. We need new licenses now

https://opensource.com/
5•jcarlosweb•41m ago•3 comments

Classic 7 is a Windows 10 LTSC mod to look 1:1 to Windows 7

https://classic7.lol/
2•jandeboevrie•45m ago•1 comments

Show HN: I got tired of AI agents using outdated libs, so I built them an OS

https://neonia.io
2•olex-green•47m ago•1 comments

Moxy, a Go reliability layer for Redis-style queues

https://github.com/an8kk/moxy
1•an8kk•50m ago•0 comments

Windows 11 PCs Compared to MacBook Neo

https://signal65.com/research/windows-11-pcs-compared-to-macbook-neo/
2•tosh•54m ago•2 comments

GitHub Copilot considering offering open source models in subscription plans

https://old.reddit.com/r/GithubCopilot/comments/1tclrdl/there_are_three_new_models_on_the_gh_copi...
1•theanonymousone•55m ago•0 comments

CringeLink – Auditing how midwit a LinkedIn post is on six independent axes

https://cringelink.com
2•pro_methe5•58m ago•0 comments

A Faster Way to Build MongoDB Queries Visually

https://visualeaf.com/blog/build-mongodb-queries-visually/
4•roxana_haidiner•1h ago•0 comments

Wolf of Wall Street financier Jho Low seeks pardon from Donald Trump

https://www.theguardian.com/world/2026/may/13/1mdb-financier-jho-low-seeks-pardon-from-donald-trump
5•benchtobedside•1h ago•0 comments

Microsoft is retiring Copilot Mode on Edge, because everything is Copilot now

https://www.engadget.com/2172610/microsoft-copilot-edge-desktop-mobile/
3•NordStreamYacht•1h ago•0 comments

LLMs are breaking 20 year old system design

https://zknill.io/posts/llms-are-breaking-20-year-old-system-design/
19•zknill•1h ago•9 comments
Open in hackernews

Show HN: Toolbase – Build reliable AI teammates by example, not instruction

2•David1238•1y ago
Hey HN, we’re David and Ethan, co-founders of Toolbase.

Toolbase is an AI agent and workflow builder that helps you quickly create production-grade AI automations — batteries included.

Try it without registering here: https://gettoolbase.com/

------- The dev cycle in Toolbase -------

1. Define a rough goal.

2. Connect any API or MCP server (we have thousands, or bring your own).

3. Teach the AI what valid input and output examples look like (these later become your unit tests!).

4. Let Toolbase generate the perfect prompt, code, workflow, or agent.

5. Deploy your project as an API, MCP server, or chat interface!

Coding optional. Sharing encouraged.

Note: If you’re familiar with Cursor/Windsurf and the core concepts behind frameworks like Mastra (which Toolbase runs on), you already know how to use Toolbase. You retain the flexibility of coding but avoid boilerplate and plumbing tasks (integration, validation, context mapping, testing, etc.) unless you explicitly choose to do them.

------- Demo -------

https://www.loom.com/share/540c61b2c5634996b088ebbb16989cf0?...

This simple agent validates company billing addresses in our CRM (Pipedrive) by researching them through Tavily search. If there’s an address mismatch, it asks a human to pick the right one via email (watch on 2x speed):

Output email for the example shown in the demo: https://gettoolbase.com/assets/demo-screenshot.png

Producing code and more deterministic workflows follows a similar process.

------- Why another agent/workflow builder? -------

We started building Toolbase out of frustration with existing frameworks, especially for production use, and the lack of IDE support for MLOps artifacts, such as prompts, golden data, workflows, and evaluations. Since much of the code for agentic systems can be dynamically generated and validated using these artifacts, they often become even more important than the code itself.

After speaking with other builders, we also realized that manually coding workflows, experimenting with prompts through trial-and-error, and setting up infrastructure/integrations all took far more time than they should. Tools like Cursor and Windsurf help, but extracting meaning from AI-generated code is slow. Chatbots whipping up arcane code potions in tinted chat windows, which is the other end of the spectrum, demos really well but isn’t maintainable at all (sorry, vibe-coding). So we went with something in the middle: an AI-assiststed visual builder with full code fallback.

------- What do you think? -------

We’re excited for any feedback, thoughts, or questions from the HN community.

Let us know what you think in the comments!

- David & Ethan

Comments

David1238•1y ago
If you want to jump straight to trying it, you can preview it here:

https://gettoolbase.com

Try clicking the play button at the bottom right of workflow pane that appears next to the big blue text.

Clicking each node after you submit your query shows you its results for the run.

Full-screening the experience (icon on the top right) and expanding a node (same icon within a step of the workflow) lets you train that prompt in the same way we did in the demo.

The first node (“User Intent Extractor”) is purposefully vague so you can train it yourself!