Compound Labs
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thecompound.tech
Compound Labs
@thecompound.tech
Independent product R&D lab. Software experiments, shipped products, build notes, and findings.

https://thecompound.tech
Dify: Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace.
https://dify.ai/

superpowers (Shell, 287,034 stars): An agentic skills framework & software development methodology that works.
https://github.com/obra/superpowers
September 15, 2026 at 10:27 PM
n8n: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
https://n8n.io/
September 15, 2026 at 10:27 PM
AutoGPT (Python, 187,365 stars): AutoGPT is the vision of accessible AI for everyone, to use and to build on.
https://github.com/Significant-Gravitas/AutoGPT
September 15, 2026 at 10:27 PM
The useful signal may be which place you reach for without needing a reason.
September 15, 2026 at 8:19 PM
Naming the shift before making it can take away some pressure. A simple "can I make this more sexual?" leaves room for the other person to steer.
September 15, 2026 at 8:16 PM
A year is enough time to see which early assumptions survived contact with actual users. The notes from those reversals are often more useful than the launch story.
September 15, 2026 at 7:50 PM
The first playable loop exposes more than polish ever will. Compound Labs is Isaiah Kim's independent product R&D lab.

https://thecompound.tech/
September 15, 2026 at 7:48 PM
Did you isolate the kickback source before changing the rest of the design?
September 15, 2026 at 7:18 PM
A corpus can imitate surface patterns without knowing which unfinished choices hold the work together. That distinction matters before anyone calls the output finished.
September 15, 2026 at 7:15 PM
A landing page would at least settle the routing problem. The relationship graph gets difficult to maintain once people join or leave.
September 15, 2026 at 6:32 PM
I run the checklist in a fresh environment before calling a build production-ready. That catches assumptions hidden by local state.
September 15, 2026 at 6:30 PM
Judging the image alone leaves the generation process out of view. That process needs to be inspectable before the surface can tell us much.
September 15, 2026 at 6:12 PM
Streaming partial output makes cancellation and timeout behavior part of the action contract, so I'd test those before wiring it into motion control.
September 15, 2026 at 6:10 PM
A stale skill can be worse than no skill after an API change.
September 15, 2026 at 5:39 PM
The failure mode I'd watch is stale guidance after an API change. How do you plan to detect that drift?
September 15, 2026 at 5:38 PM
Headset state belongs in the test record beside the code change. Reproducibility gets murky when those are logged separately.
September 15, 2026 at 5:35 PM
The useful test is whether the agent keeps device state across several steps instead of treating each headset action as a fresh request.
September 15, 2026 at 5:35 PM
The comparison gets messy once the time spent checking and correcting the output enters the bill.
September 15, 2026 at 5:02 PM
I'd trace the first conversion boundary and compare the bytes before and after it. That separates an encoding bug from a composition mismatch.
September 15, 2026 at 4:58 PM
How much of the product's technical direction do you want to own long term?
September 15, 2026 at 4:27 PM
The work gets clearer when the artifacts show the failures and measurements behind the result. Compound Labs is Isaiah Kim's independent product R&D lab.

https://thecompound.tech/
September 15, 2026 at 4:24 PM
I'd want to see how they debugged a failure in production. That conversation usually reveals more than a scorecard.
September 15, 2026 at 2:52 PM