Solidmatics tells you if your engineering team is actually building something real. Today, the system sees further across your toolchain and processes data far more efficiently.
We deployed three new data sources and overhauled how the AI reads meetings.
Tying effort to output
Leaders often struggle to connect the hours logged to the code shipped. We just closed that gap. The system now ingests GitHub issues, ClickUp time logs, and HubSpot support tickets.
This means the agent maps customer realities and time tracking directly to the engineering work. If an engineer logs forty hours in ClickUp, the system checks if the resulting code matches that effort. If a HubSpot ticket requests a new feature, Solidmatics watches how the team builds it in GitHub. You get a direct line of sight from the initial request to the final merge. 🔎
To support these new streams, we upgraded the underlying data sync architecture. A new generic sweep mechanism handles multi-platform data pulling. The result is faster readiness checks and cleaner operations across all connected platforms.
Smarter meeting analysis
Processing every word of every meeting wastes money and compute. We fundamentally changed how the agent handles transcripts.
Instead of pulling full transcripts by default, the system now uses a two-grain read approach. The agent scans a lightweight index of meeting metadata first. It reviews titles, attendees, and summaries to decide which conversations actually matter.
Once it identifies a relevant meeting, it fetches only that specific transcript. We also compress these transcripts into coalesced speaker turns. The agent gets the exact same context without the bloated payload. This drops token costs significantly while maintaining the exact same quality of insight. 📉
Protecting shared API quotas
More data means more API calls. Platform rate limits are a hard constraint.
We deployed a two-tier rate budget to protect system stability. Upstream rate limits are often shared across the authentication app. We added an app-wide throttle that sits above the per-connector budget.
If one aggressive tenant tries to pull massive amounts of historical data, the global tier catches it. That tenant can no longer drain the API quota for everyone else. The system checks the global budget first, then the local one, refunding tokens if a conflict occurs. Your daily reads arrive on time, regardless of what other accounts are doing. 🛡️
Connect your tools and see what your team is actually doing. 🚀