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Akhenaten: Compliance for business communications in Finance and Crypto

Hacker News

Akhenaten: Compliance for business communications in Finance and Crypto

Hi friends, I'm Nyah, co-founder of Akhenaten. We've developed a platform tailored for financial and crypto companies to streamline compliance with SEC record-keeping mandates. Our tool integrates multiple messaging platforms like Slack, Telegram, and WhatsApp, simplifying the monitoring and archiving of business communications. Our expertise stems from our time at Anchorage Digital, Google, and VMware, focusing on security. With Akhenaten, we aim to remove the compliance hurdles in the crypto and finance sectors, fostering innovation and reducing concerns about SEC enforcement actions. We've recently launched our platform with initial support for Slack, Telegram, and WhatsApp communications. Check out our demo here: [Akhenaten Demo]( https://bit.ly/akhenatendemo ). We're excited to offer early access to institutions and startups eager to experience our solution. Your feedback is invaluable to us and will shape the future of compliant communication in the finance and crypto world. Thank you for your time and interest.

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Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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: google · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, io · Missing: https docs, just released, exist
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, communications · Missing: plus, intuitive, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: slack, google, using · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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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