Factorial engineer building custom dashboards using Jira as a data backend only. Experiments with Talis hardware and auto-research agents. Skeptical of pure prompt-based software due to cost, favors hybrid deterministic + LLM approach.
no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY
Engineers are building personal dashboards that use Jira only as a data backend via API, bypassing Atlassian's UI entirely. This suggests Atlassian's moat (the UI/workflow) is eroding as AI makes custom front-ends trivial.
Talis has embedded an LLM directly into a chip achieving 17,000 tokens/sec output (30+ chips), with a roadmap to 50,000-100,000 tokens/sec, potentially enabling real-time agent swarms and new interaction paradigms.