Products · For technical teams
Five products, each from a problem we hit in our own work. We shipped the fix, then made it something you could use.
Open source where it makes sense. Priced where it doesn't.
Keeps the right tokens in context and drops the noise · without degrading reasoning quality. Context windows got bigger; the cost of filling them badly got bigger with them.
The problem it solves: you're paying for tokens that contribute nothing, and past a certain point they actively hurt output quality.
Most people watch tutorials on prompt engineering and freeze when it's time to write one. PromptSpar is a hands-on simulator with real missions: you learn by doing, and by failing somewhere it doesn't cost anything.
The problem it solves: your team has watched the training and still can't write a working prompt.
Press releases and changelogs tell you what a competitor wants you to know. Frustrated users tell you where they're actually failing, and which of their customers are ready to leave.
The problem it solves: you're tracking competitor announcements when you should be tracking their churn signals.
Engagement and reply tooling for teams handling volume across social platforms. Generation with your tone held constant, and a human approving before anything ships.
The problem it solves: scaling responses usually means either hiring or sounding like a bot.
Finds who's worth reaching, gets in touch, and follows through to conversion. Quiet, continuous, mostly unattended.
The problem it solves: outreach that works requires consistency no human sustains manually.
Why these exist
We don't run a product roadmap in the abstract. Each of these started as a cost problem, a quality problem, or a volume problem in our own work, and we built it because the fix didn't exist. That's the origin story behind each one:
ContextPrune Came out of running an army of AI agents and watching the context bill eat the margins.
PromptSpar Came out of training our own team and finding out that watching tutorials doesn't build the skill.
ReplyRally Came out of doing our own lead outreach and realising the bottleneck was never ideas, it was execution.
RivalRift Came out of wanting to know what our competitors' users were saying before anyone else did.
NeonWeaver The newest: an invite-only pipeline we kept for our own outreach.
We solved the problem for ourselves first, and because it's a common problem, they're yours too.
More in the pipeline. Subscribe for release notes, or follow @grapine_ai.
Open source
ContextPrune is open source because context management is infrastructure, and infrastructure gets better when more people run it in anger.
See our open source workBuilding with AI
That's usually where the next product comes from. Tell us what's breaking.
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