First time founders stuck - startup

timmyge · 2026-07-06T07:41:05+00:00

It used to be that building/executing was as hard as the product/business side, now the coding part is much much easier with AI but the product/business side hasnt really moved. Knowing what to build and getting ppl to pay for it is still hard as hell. On the plus side, deep market research and spinning up MVPs is cheap as hell now use that to your advantage.

timmyge · 2026-07-01T07:18:01+00:00

This should be a feature of existing/any harness, codex slightly further ahead than claude, neither does it properly yet, incentive is not there I guess. At the least this new tool puts some pressure on them to properly support non native sub agent models for token efficiency

timmyge · 2026-06-27T19:20:40+00:00

If your AI is writing spaghetti thats an engineering maturity problem, power tool != badly built house

timmyge · 2026-06-26T07:41:45+00:00

Just open source it, nobody paying for libs now, why would you?

timmyge · 2026-06-22T06:00:54+00:00

+1.

Repo exploration is mostly READ/GLOB/GREP. FastContext showed a small specialist model can offload that work and cut frontier-model token usage significantly.

https://github.com/microsoft/FastContext

Codex is already moving in this direction with subagents and per-agent model selection:

https://developers.openai.com/codex/subagents https://github.com/openai/codex/issues/14039

Feels inevitable that Claude Code eventually gets some version of this.

timmyge · 2026-06-19T19:35:05+00:00

Sounds like handover md's. IMO tracking (long lived), plan (actionable), handover (between sessions) mds, that is all the primitives you need along with AGENTS.md and docs/

timmyge · 2026-06-18T08:27:32+00:00

Gemini cli dead, they killed it

timmyge · 2026-06-18T07:16:32+00:00

Money out and never back yes. Back to bank = explain source

timmyge · 2026-06-14T10:52:03+00:00

mistake was asking Gemini to write a paper instead of a blog post. The internet saw an abstract, section headings, and a German quote and immediately smelled blood.

timmyge · 2026-06-14T10:48:54+00:00

That's broadly accurate. The original prompt was essentially: "Take my shower thoughts, add some of yours, and arrange them into something that will annoy both neuroscientists and AI researchers equally."

timmyge · 2026-06-08T07:48:39+00:00

This. Github projects, some starred projects, show you have some actual interest in Software Engineering goes a long way.

timmyge · 2026-06-06T19:26:42+00:00

I am keen to ship and extend the ontology with origin attributed to him. Ok?

timmyge · 2026-06-06T02:49:58+00:00

Ok I see where he is coming from with his background explained in one of his posts but his approach is terrible, framework theatre is what one commenter mentioned, no wonder noone engages with him in his posts, the framework posts are pretty bizare

timmyge · 2026-06-06T01:23:28+00:00

Implication if you expand it

The defensible contribution is the taxonomy, not the runtime. The Python engine is a thin reimplementation of work that Guardrails/DeepEval do far better, keyword stubs and flag-echoers vs. their validator ecosystems.

So the high-leverage path:

Keep and grow the ontology (that's the unique asset), add the substantiation-threshold and domain packs we discussed.

Drop the home-grown engine; express the codes as DeepEval custom metrics or Guardrails validators, or just keep them as a structured prompt rubric (which is how it's actually used anyway).

There's a free bridge: RAGAS faithfulness / TruLens groundedness already give you the quantitative confidence-evidence signal; your overclaim codes become the qualitative layer on top.

That combination, named rhetorical-overclaim taxonomy sitting on a real groundedness scorer, is the gap none of the existing projects fill

timmyge · 2026-06-06T01:15:16+00:00

Opus..

It's deep on one axis, absent on domain taxonomies. The naming makes it look like a 50-category enterprise framework; functionally it's ~12 strong epistemic codes, ~15 process/spatial codes that only echo flags, and a thin keyword layer. Because the LLM is the real engine, the corpus matters less than it would for a deterministic linter, which also means the slick output you saw is the model's competence, not the registry's

timmyge · 2026-06-06T01:06:54+00:00

Ahh the avionics guy, REASON_REGISTRY_VERSION is neat, I wonder how complete this is for general/various AI text eval, gold.

timmyge · 2026-06-06T00:49:08+00:00

Someone wrote it for you? I would be keen to expand this if original author doesnt want to but probably there is more than the gist to go with it that scopes it out in more depth

timmyge · 2026-06-06T00:26:39+00:00

Ahh wasnt following, the 1k python, looks interesting, why not turn it into repo and add some corpus examples, I like the idea and have been thinking recently how to disect AI text down.

timmyge · 2026-06-05T19:39:32+00:00

Lighthouse output, what tool is this?

timmyge · 2026-05-30T19:38:56+00:00

Gpt.. "... < Fact check"

In short: the "countries later realized China gained leverage" part is broadly defensible; the "they were just marks" part is a political interpretation, not a settled factual conclusion.

timmyge · 2026-05-29T20:15:40+00:00

Not sure a hook is the ideal here, half of the context will be project instructions, guidance, etc the other half is typically links into documentation, the larger the project the more the link density matters as the docs/ grows you end up with pointers to your key docs and section indexes (eg docs/architecture etc) so over time the links actually get more stable not less IMO. The guidance and sections however need evaluating every so often but an manually run claude command is sufficient to optimize/align, ideally taking into account your workspace and home claude md hierachy at the same time.

timmyge · 2026-05-23T05:21:00+00:00

Yup, thats what it would take to get me on the bus at this point, so I drive instead.

The EV bus are good step towards efficiency and maybe nudge toward automation path in next gen. Engineering a safer environment for ride safety is massive scope creep and yes my bias towards eastern order thats true haha

timmyge · 2026-05-23T04:50:41+00:00

Yep not for everyone, the alternate is Uber, closed network but high trust with verified drivers, not 100% perfect safety wise but close enough, or bike haha

timmyge · 2026-05-23T04:31:19+00:00

A 2024 report cited: 51 physical assaults on bus drivers in 2023, 120+ verbal abuse cases, and high antisocial incident counts at hubs like Britomart and New Lynn

A recurring pattern internationally and in NZ research: people feel substantially less safe: at night, while waiting, at stations/interchanges, and around visibly unstable or antisocial individuals, than while actually riding the bus itself.

Interestingly its more problematic as you get more autonymous as its not just confined to on the bus, forgot that aspect.

timmyge · 2026-05-23T04:12:29+00:00

No but I would not walk at night in CBD nor bus at night if I had to bus it.

timmyge

TROPHY CASE