Opportunity radar
Turn source events into ranked Polymarket opportunities with matched markets, category filters, trigger prices, current prices, and edge context.
Temirin vs manual research
Compare Temirin with manual prediction-market research across source matching, opportunity review, trigger prices, decision notes, and attribution.
DECISION CONTEXT
Research-heavy users who want faster synthesis without losing source visibility.
Use this comparison to see where Temirin adds structure, context, and review history that manual tools usually leave scattered.
WorkflowTemirinManual research
Source reviewAI summaries keep source context visible and connect evidence to matched markets and trigger prices.Research depends on memory, screenshots, and scattered bookmarks.
RepeatabilityThe same opportunity workflow can be used across markets, themes, sources, categories, and review cycles.Each market often becomes a one-off research process.
Learning loopAttribution, shadow PnL, journal notes, and review dates make decisions easier to revisit.Post-trade review is easy to skip or reconstruct poorly.
The difference is decision memory.
Temirin connects market data, evidence, alerts, portfolio state, risk checks, and notes so each action has context.
Evidence and confidence
Summarize RSS, web, Telegram, X, and official sources while keeping provenance, confidence, conflicts, and the reason each market match fired visible.
Capital and risk policy
Control sizing by amount, day, week, available capital, confidence, edge, category, source, liquidity, spread, and workspace mode.
Approval and attribution
Route opportunities to in-app review or Telegram approval, then measure actual PnL against the system-shadow path the model would have taken.
NEXT STEP
Compare the workflow against your current process.
Tell us what you use today and we will tailor the walkthrough to your current research, alerting, risk, and order-review process.