BitFan
Public Service Atlas for Bittensor
BitFan
You can use Almanac's web app to place curated prediction trades through Polymarket, track whether your calls are consistently good, and receive extra payouts when they are.
Almanac is best understood as a prediction-market trading layer built on top of Polymarket rather than a completely separate prediction marketplace. It gives users a way to trade through a browser experience while adding performance tracking, leaderboard-style comparison, and additional payouts for consistently strong forecasts. The real target user is an active prediction-market trader who wants more than one-off trade outcomes. Almanac tries to measure whether a person or algorithm produces repeatable forecasting value over time. Its API guide also suggests a developer or algorithmic-user audience. The product is usable today through the beta website and documented onboarding flow. It still appears young: it is described as beta, public company/team disclosure is limited, and user/revenue figures are mostly project-reported rather than independently verified.
The real target user is an active prediction-market trader who wants more than one-off trade outcomes. Almanac tries to measure whether a person or algorithm produces repeatable forecasting value over time. Its API guide also suggests a developer or algorithmic-user audience.
The product is usable today through the beta website and documented onboarding flow. It still appears young: it is described as beta, public company/team disclosure is limited, and user/revenue figures are mostly project-reported rather than independently verified.
Closest alternatives include Polymarket, Kalshi, ProphetX, and Manifold Markets. Almanac’s likely strength is the extra scorekeeping and incentive layer on top of prediction-market activity. Its weakness is that it relies heavily on another prediction-market platform and still has limited independent proof of user adoption.
Almanac is a real, usable beta product for people already active in prediction markets. It matters most to users who care about long-run forecasting skill and want that skill measured and rewarded. It is less relevant to casual users who only want to browse prediction markets without added setup.
