over 3500 teams and solo builders on the waitlist for the @primisprotocol beta. they understand the vital need for predictable compute that allows them to plan and scale around. some of the notable names found in the waitlist were from @xai @AppliedInt @rendernetwork and more… primis mode

and this is exactly why @primisprotocol matters. when h200 pricing can jump 29% overnight, the builder problem is no longer just getting access to gpus. it’s getting access to compute at rates they can actually plan around. shortages are bullish for whoever already owns supply, sure. but the bigger missing layer is the one that turns fragmented, volatile compute into something usable for builders through pricing + routing. that’s the thesis.

yes but the real opportunity is not just speculation on raw compute. it’s: phase 1 : unify fragmented providers for builders one interface. one bill. one access layer across messy compute supply phase 2: let capital plug directly into compute markets. deposit into primis vaults. offset part of builder costs. earn higher yield from exposure to real compute demand that’s the @primisprotocol thesis: first unify compute access. then connect capital to compute usage. that’s how you combine coordination + speculation around a real market.

primis beta update : yesterday we showed the first part of the flow : query rate -> reserve rate now we’re showing you what comes next. your workload runs as usual. usage is emitted. and primis reconciles it against the reserved rate. and the rate matches. this is our core product architecture. query rate -> reserve rate -> attach workload -> reconcile usage. the goal is not to change how builders deploy. the goal is to make compute pricing predicable before the workload runs, and verifiable after it does. we currently have 8 teams/builders trying our closed beta and helping us improving it. we estimate a total of $100k compute volume is running through primis right now. we help these teams save on average around 23.5% of their monthly compute bill and gain tens of hours of productivity. we’re building the pricing layer for compute. our open beta is releasing soon. primis mode

no more comparing dozens of providers. no more surprise bills. add one line to your workflow. query a rare, reserve it, attach it to a workload, and reconcile usage automatically. hours saved. thousands protected. @primisprotocol gives builders predicable compute pricing before workloads run. primis mode

primis beta update: we’ve been rebuilding primis compute around one clear lesson from builders in our closed beta: the problem is not discovering more compute. the problem is knowing what compute will cost, trusting that rate, and being able to build around it. when compute becomes a core production input, pricing errors, latency, and volatility are not small issues. they hit margins, reliability, and product velocity. this is why we’re rebuilding the rate engine from the ground up. from the builder side, open beta is being shaped around one simple flow: query rate -> reserve rate -> attach workload -> reconcile usage no provider noise. no new workflow to learn. no extra complexity for builders. primis handles the rest behind the scenes. predictable compute pricing inside the stack builders already use. primis mode.

our current next steps with @primisprotocol : - we're waiting on the call and conversation with the @BagsApp team - waiting for the first wave of @BagsHackathon winners to receive the prize money, us included - working our gtm plan for our open beta release - do bd work with some ai teams to onboard them seamlessly primis mode

great article from the people @variantfund @firstc0in @AlanaDLevin. this is exactly why @primisprotocol exists. not because compute markets are already perfect, but because they’re clearly evolving in that direction. once the conversation shifts from “who has gpus?” to: - how is compute priced? - what is the unit? - how do you hedge it? - how do you standardize it? - how do you settle it? you’ve already admitted compute is becoming a real market. that’s the world Primis is building for, as we’re turning fragmented, volatile compute into something builders can actually price, plan around, and scale with. primis mode.

another massive one for @primisprotocol. cme launching compute futures means the market is starting to admit what we’ve been saying: compute is becoming a financial primitive. when an input gets benchmarked and hedged, it stops being “just infra.” it becomes something that needs pricing layers, access layers, and risk layers around it. that’s exactly where primis fits. primis mode.

we won the @BagsHackathon with @primisprotocol but the hackathon was never the finish line. the reason we’re building primis is simple. builders should not have to absorb compute price risk just to ship products. and this is a hard lesson i learned while building @dolos_diary and trying to ship dolion. today, teams compare fragmented rates, chase volatile pricing, and plan margins around an input they cannot properly forecast. that works when compute is a small ops expense. it breaks when compute becomes the primary production input. primis is not another cloud. not another gpu marketplace. primis is the pricing layer for compute. one interface to query normalized rates, generate quotes, reserve predictable pricing, and track usage inside existing workflows. the goal is not cheaper compute as a gimmick. the goal is making compute financeable. open beta next. primis mode.