Thyme (*Insert* Arc)

Budget Organize Maximize Balance.

Budget Organize Maximize Balance

Budget Organize Maximize Balance

Dear @a1lon9 & @Pumpfun Serious question. Are you only going to care about memecoins, or will you also start paying attention to real builders like Kat and Brian? @transkatgirl is building $weave. @BrianRoemmele is building solana:4G97TvkmYyMYjQZAU5At2a7RnUCrJYY7QSQtp7Gzpump. There’s actual work behind both of them. Builders deserve attention too, not just whatever meme is trending today.

$weave sub $1m is free.

We have spent weeks explaining @universalweave through words and code. Soon, people will finally be able to see it. 0.5.0 is taking longer than expected, so @transkatgirl is prioritizing the demo first instead of making everyone wait for every last cleanup and optimization. The timeline shifted. The work did not stop. A real demo will make it much easier to understand why branching, reconnecting, and navigating AI conversations beyond one linear chat actually matters. This is the update I have been waiting for. Study $weave before the abstract idea becomes something people can experience.

The fact that graphing took longer is honestly the least interesting part here. What matters is that it already works, passes a serious property-test suite, seems roughly 2 to 3x faster than Tapestry Loom’s old layout library, behaves better with DAG documents, and cuts worst-case complexity from O(V²) to O(V + E). I checked the latest GitHub updates too. @transkatgirl has now added separate property tests for the reference, independent, and dependent layout paths. Together, those harnesses are configured for 15,360 generated cases, with sequences that can run up to 511 operations. Then came the cleanup. 1 major commit alone changed over 500 lines, removing more code than it added, followed by smaller fixes that tightened temporary memory allocation. And she still refuses to call it done until the weird edge cases are manually traced and the final high-count tests are complete. Most people would see “2 to 3x faster,” post the benchmark, and rush the release. But @transkatgirl saw it, then went back to look for everything that could still break. This is the kind of builder we should all support in this space and across the @solana eco. $weave isn’t another AI agent. @universalweave is foundational infrastructure for Looms and non-linear AI interaction, something other builders could eventually build on top of. The size of this won’t be measured by one demo. It’ll be measured by what gets built with it. 0.5.0 isn’t out yet, but the work is visible. Listen, study $weave before the market does.

In 2024, I was early to AI agents before everyone started chasing them. I’m doing it again with $weave. But this time feels a little different. I’m not early to another AI agent. I’m early to foundational tech for non-linear AI conversations. 12 days into the CTO and we’ve managed to hold above $100K while most people are still busy bidding larps, farms and recycled memes. I won’t get tired of saying this. There will come a time when they find $weave, study what’s being built and realize how big this can become. By then, being early will look obvious.

Ok $Chud wicked to $5.4M after @pmarca followed @chudjak But $weave is only at $136k with tech by @transkatgirl ?

GitHub says 1.13M public repos already use an LLM SDK. @universalweave obviously won’t fit all of them, but even if only 0.1% are building the kind of branching AI products it was made for, that’s already 1,130 potential projects. At 1%, it’s 11,300. Now imagine thousands of AI products using $weave, with Kat also open to exploring tokenization once everything is ready. That’s why I’m not thinking about one or two builders. I’m thinking about how big the impact could be if $weave becomes part of the stack for even a tiny fraction of the AI market. People are still pricing $weave like it only has one use case 😂.

I just watched an ACT I dev work with Eigenslur to interpret older Act I logs. Shortly after, its token ran to $1,5M One credible builder. One public proof of use. That was enough for the market to pay attention. Now look at $weave. @transkatgirl is building infrastructure designed for other builders to use, with universal-weave 0.5.0 and a microcontroller demo ahead. Just an obvious takeaway: When builders start publicly showing what they can do with @universalweave, the market might not wait.

Kat pushed a fresh series of commits to @universalweave. Here is what materially changed. The current optimization pass for the 2D layout engine is now complete. Most importantly, the direct layout path for DependentWeave is now implemented. Previously, that path still ended in a placeholder. It can now take the tree-based structure of a Loom and calculate the node positions and connection paths a UI needs to render it. @transkatgirl also reworked the internals to reuse temporary memory, reduce graph and polyline bookkeeping, and skip segment-related work when a layout does not need it. This is real efficiency work at the library level. However, there are no published benchmarks yet, so it would be inaccurate to claim a specific performance increase. The follow-up commits also hardened the implementation: • Empty layouts are now handled safely • Coordinate and spacing validation was tightened • Invalid layout output remains checked in release builds • Layout was added to a broader compile and lint matrix covering major feature combinations, no_std, and combined Loro builds Why does this matter? @universalweave is infrastructure. The layout engine is what turns a branching tree or DAG into an actual visual map that an interface can display. Making that process leaner and harder to break gives future Loom interfaces a stronger foundation, especially as their graphs become more complex. Important distinction: @transkatgirl finished this optimization pass, not the entire layout system. Cleanup and dedicated parity and property test suites are still listed as follow-up work. No new UI shipped in these commits, and they do not provide benchmark proof or establish production readiness. This is the kind of progress foundational software needs: capability first, then optimization, edge-case fixes, and broader configuration checks. github.com/transkatgirl/univ… $weave

5 new commits just landed in @universalweave src. @transkatgirl has started implementing the DAG coordinate assignment system. Simple version: once a Loom has many paths splitting, crossing and merging, the app needs to decide where every node should sit, how far apart the branches should be, and how each connection should travel without turning the screen into a mess. That’s what this code is starting to solve. The update adds graph ranking, 2D node placement, spacing, polyline routing for connections, and viewport-aware loading so apps can focus only on what is currently visible. This is the machinery that turns a raw graph into an actual map people can navigate. Around 1,550 lines were added across these 5 commits. It’s still WIP, so graphing is not finished yet. But the hard parts are taking shape in public, commit by commit. Keep an eye on the repo. $weave

AI this, AI That. Just buy $weave by @transkatgirl