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Blockgem – Crypto Arbitrage Scanner

Hacker News

Blockgem – Crypto Arbitrage Scanner

I've been navigating the crypto space for a while and grew increasingly frustrated with the shilly announcements and ghost sponsorships that dominate crypto-related content. It's disheartening to see how many people lose money on risky bets. That's why I created Blockgem, an app aimed at showcasing a less risky path to profit in the crypto market through arbitrage. Blockgem is an early-stage project I've personally developed. It leverages real-time data from crypto price APIs to highlight opportunities for arbitrage - buying low on one exchange and selling high on another. This simple yet effective strategy can be a safer way to navigate the volatile crypto market. Features include: - Real-time arbitrage opportunities across 100+ assets and 75+ exchanges. - Customizable searches tailored to user preferences. - Simple Google authentication for access: https://blockgem.co/?utm_source=show_hn Despite its early stage, Blockgem has organically grown to ~500 users. As I explore ways to monetize, user feedback has been clear: many desire automated arbitrage trading via their exchange API keys. However, I'm cautious about the security implications and the costs of implementing such a feature on a tight budget. I'd love to hear your thoughts on potential monetization strategies, how to enhance the user experience, and ideas for growth. Additionally, if you have insights on securely implementing automated trading or opinions on balancing development costs, I'm all ears. Thanks for giving Blockgem a look. I'm here to discuss and answer any questions you might have!

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
89%89% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, apis · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, google, users · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, 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
31%31% 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, growth · Missing: arr, mrr, revenue
16%16% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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