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Live BTC Arbitrage Monitor (South Africa vs. Global)

Hacker News

Live BTC Arbitrage Monitor (South Africa vs. Global)

We built [ZArbitrage.co.za]( https://zarbitrage.co.za ) to track the live price gap between Bitcoin in South Africa and major international markets. South Africa often trades at a premium (sometimes double-digit %), and while many people know about the "ZAR premium", there hasn’t been a simple, transparent dashboard showing it clearly over time. The opportunity is also only available to South African Tax registered citizens, so that does limit the the number of people who can profit of this specific scenario. Nevertheless, it is still interesting to see a real live Arbitrage example that lasted for a decade. The site shows: - Live BTC arbitrage opportunities (SA vs global) - Historical charts for spreads over time - Transparent data pulled directly from exchange APIs This started as an internal tool for our own trading research, but decided to open it up for anyone interested in arbitrage, FX controls, and how capital restrictions create unique crypto pricing dynamics. Also, the opportunity is essentially dead as of a few months ago. Will it be back? Who knows... Any feedback or comments are welcome. But it's mostly for fun, research and historical purposes. We hope someone out there finds it interesting or useful!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: month, trading · Missing: mobile apps, ios, personal
55%55% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apis, open · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · 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 · Strong signals: crypto · Missing: web3, chat, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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