I built a CPU cooler/Peltier-based Airconditioner for 48v Solar

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I've been building a Peltier with 48v solar in mind. Part of the design constraints were to create it using only commodity CPU cooling tech I could buy online, and plenty of trips to the hardware store. Initial test run in the window to track cooling ability (which I expect to be fractional of a full compressor AC). This run using 110v mains power for consistency and testing. I've already run 48v, I just didn't want to be swapping batteries all day (and I need to improve my battery discharge safety features). Runs around 200W (measured using Kill-A-Watt), COP is much lower than compressors, but I think it might actually be enough to take the edge off a warm room. The goal here is to have solar panels outside the window like shutters, and the unit running without any additional inputs... storing any excess power in batteries for night time operation. Low visual footprint as well, so it doesn't block the view.

Visit product View on Hacker NewsMay 19, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, using · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% 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

47%47% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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