This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
SatoshiMacro Model (SMM)
A former institutional trader's Bitcoin cycle model. Free.
Quantitative Bitcoin cycle confluence model. Built by a former institutional trader. 48 signals, 6 weighted tiers, calibrated against every cycle top/bottom since 2013. 7-of-7 in-zone calls across BTC history. Free alternative to paid cycle-research subscriptions. AUD-native with USD toggle.
Hey Hunters - Govind here.
Credibility frame first: I'm a former institutional trader (Sydney-based, ex-prop firm, traded allocated capital). That matters for this product specifically because most Bitcoin cycle models on the retail internet are built by anonymous Twitter accounts or crypto-native creators with no exposure to traditional multi-factor risk management. SMM is built from the institutional side of the desk - multi-factor confluence, lookahead-bias-free percentile rank, expanding-window normalisation, calibrated zones not vibes.
The frustration that drove the build was the gap between "free tools showing one indicator with no context" and "paid services at USD 40 a month bundling 200 indicators you'll never use." Neither approach passes the institutional smell test.
SMM takes 48 signals across 6 weighted tiers - Cycle Timing (30%), Valuation (25%), Sentiment (20%), Rotation (10%), Miner (10%), Macro (5%) - and runs them through a piecewise calibration curve tuned against every BTC cycle top and bottom from 2013 to 2021. Output is a single 0 to 100 score with a calibrated cycle-position zone (Accumulation / Neutral / Caution / Distribution / Cycle Top).
7-of-7 in-zone cycle calls across BTC history. Methodology is fully documented on the page including tier weights, calibration curve knees, anchor points, and rationale for each signal. Both raw and calibrated scores emitted so you can interrogate or recalibrate.
Free embeds for journalists and other sites. AUD-native with one-click USD toggle on every chart.
Genuinely interested in feedback from the crypto research community here - especially on the indicator selection at Tier 2 (Miner) and the calibration curve methodology. AMA.
No comment highlights available yet. Please check back later!
About SatoshiMacro Model (SMM) on Product Hunt
“A former institutional trader's Bitcoin cycle model. Free.”
SatoshiMacro Model (SMM) was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #35 on the daily leaderboard. Quantitative Bitcoin cycle confluence model. Built by a former institutional trader. 48 signals, 6 weighted tiers, calibrated against every cycle top/bottom since 2013. 7-of-7 in-zone calls across BTC history. Free alternative to paid cycle-research subscriptions. AUD-native with USD toggle.
SatoshiMacro Model (SMM) was featured in Investing (26.6k followers), Crypto (39.6k followers) and Bitcoin (1.9k followers) on Product Hunt. Together, these topics include over 12.5k products, making this a competitive space to launch in.
Who hunted SatoshiMacro Model (SMM)?
SatoshiMacro Model (SMM) was hunted by Govind Thanabalasingam. 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.
Want to see how SatoshiMacro Model (SMM) stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Govind Thanabalasingam