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Rate Floor Pricer – like price insurance on GPU, estimated in real time

Hacker News

Rate Floor Pricer – like price insurance on GPU, estimated in real time

GPU leases have become massive price bets. To meet surging demand, companies are signing multi-year GPU contracts but this also means they're taking on serious duration risk in the process. Over the next 3 to 5 years, any single SKU of GPU can decline in price due to depreciation, obsolescence, or simple oversupply. As a result, companies have realized that they need a hedge, but bilateral, bespoke derivatives are arcane, slow, and difficult to navigate. That's why we built a self-serve pricer for cash-settled rate floors: Pick your SKU, calendar months, coverage, and floor level, and see your floor priced in about a minute. Many companies have already been using this tool to paper eight-figure notional agreements. Now we're bringing it to everyone.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: single, using · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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