Bolt and Aeira from Sparcle
Private self-hosted enterprise AI integration platform
Hype can't move this line. Only verifiable outcomes do.
No money. No seat. It doesn't move the price. It goes on your record — and in 28 days reality settles it.
by reality anchor — the price money can't pump
Security. Launched 6d ago on PeerPush, where it placed #477. Today, it's live, but nothing on the site has changed since we started watching. It's anchored at 1,708 pts, with the crowd paying +8% on top.
It placed #477 on PeerPush with 39 votes.
A launch's opening price comes from where it placed on its own board, normalised across all 12 platforms we watch. That's deliberate: #1 on a small board beats #40 on a huge one. It's how a launch nobody saw can still be worth more than one everybody did.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
Quiet for 3 days — no penalty yet. Bleeding begins on day 7.
We fetch this site every day and hash what's on it. A founder can post “still working on it” — but if they actually shipped, the page changes. That's the only claim we price: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
The story so farEVERY MOVE, AND WHY▾
1 quiet day in between are left out — nothing happened on them. Repriced every day, no cliffs. A launch that goes quiet bleeds a little at a time, so there's never a drop you could have run from the night before.
No names, on purpose — a call is worth what it turns out to be worth, not who made it. And none of this money moved the price: the line above only responds to what the launch actually did.
Momentum on its boardDOESN'T MOVE THE PRICE▾
Daily tracking just started for this launch — the first point is on the board. A second reading lands with tomorrow's run, and the curve builds from there.
How the launch is moving on its own board, day by day. This is the crowd's attention — it does not move the reality price. Only verifiable outcomes do.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
Sparcle is the private AI plane for regulated work. It pairs Bolt, a local-first AI workspace that runs on the user's own machine, with Aeira, a governed retrieval and policy layer, to give enterprises a ChatGPT- or Copilot-class experience without sending their data to someone else's model. Everything runs inside your trust boundary: on-premises, in your VPC, or fully air-gapped. You bring your own LLM, whether that's a hosted frontier model behind your own key, a model in your VPC, or a local open-weight model Sparcle auto-detects and adopts. The result is the productivity teams expect from modern AI, under governance that HIPAA, GDPR, and DPDPA actually require. What makes it different Governed by construction, not by policy memo. Sparcle treats governance as a chokepoint the data must pass through, not a checkbox. PII is masked at the LLM boundary so the model sees redacted context while your tools still operate on real values. Consent is enforced on the internal AI leg (DPDPA-aligned), and access is mediated by a capability and policy layer so retrieval respects each user's permissions before a single token is generated. Retrieval that respects the ACL first. Aeira runs a hybrid retrieval ladder that filters by access control at the query level, then ranks, so users only ever ground answers in data they are already entitled to see. This is the hard part of enterprise RAG done correctly: no leakage through the retrieval side door. Local-first, so the AI meets your data where it lives. Bolt runs as a real desktop workspace. Notes, clips, files, and search stay device-local and encrypted at rest. Drop in a file, a log, a CSV, or two documents to diff, and Bolt extracts, understands, and acts on it locally, then reaches for an LLM only when it needs to, through the masking boundary. Bring your own model, including on-device. No lock-in to a single provider. Point Sparcle at a frontier API, a model in your cloud, or a local OpenAI-compatible endpoint it discovers automatically. On-device transcription and text-to-speech mean even voice never has to leave the machine. Built for regulated verticals. Additive compliance packs, advisory guards for regulated domains, and provenance tracking are part of the platform, not bolted on. The same architecture serves healthcare, finance, and public-sector teams who cannot use public AI tools at all today. Deploys the way your infrastructure demands. Three paths from evaluation to production: a self-contained trial sidecar for a single user, a single-host install, and a Helm-based cluster deployment for scale. Same governance guarantees at every size, including air-gapped.
Where it launched1 PLATFORM▾
| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| PeerPush | 39 | sets the price | ↗ |
The board it did beston sets the price. Every other board only adds to it if the launch also landed in that board's top 25% — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.