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TwoHeads

Turn any decision into a number

Describe a decision in plain language: a job offer, a startup bet, a big purchase, a negotiation. TwoHeads maps out your real options as a decision tree, estimates the probability of each outcome with a cited real-world analogue, and calculates the expected value of each path. Then you argue with it: every probability has a slider, so you can override the AI's assumptions with your own and watch the expected value recalculate live.

Top comment

Hey everyone! I built this because major decisions are always easier with concrete numbers. TwoHeads lets you describe the decision, and it extracts the branches and probabilities for you, with a cited analogue for every number so you can see *why* it thinks 60% and not 80%. Every probability is a slider. The AI's estimate is a starting point; if you know your situation better than a base rate does (you do), drag it to what you actually believe and the expected value updates live. It's free to use, no account needed, 1 analysis/day. Would love feedback on: (1) where the AI's probability estimates feel off-base; (2) what decision types it handles badly. I'm in the comments all day.

About TwoHeads on Product Hunt

Turn any decision into a number

TwoHeads was submitted on Product Hunt and earned 2 upvotes and 6 comments, placing #159 on the daily leaderboard. Describe a decision in plain language: a job offer, a startup bet, a big purchase, a negotiation. TwoHeads maps out your real options as a decision tree, estimates the probability of each outcome with a cited real-world analogue, and calculates the expected value of each path. Then you argue with it: every probability has a slider, so you can override the AI's assumptions with your own and watch the expected value recalculate live.

On the analytics side, TwoHeads competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how TwoHeads performed against the three products that launched closest to it on the same day.

Who hunted TwoHeads?

TwoHeads was hunted by Ayush Sanghavi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of TwoHeads including community comment highlights and product details, visit the product overview.