Adakti VS Diffyn

Adakti's answer

Adakti is built specifically for futures prop traders managing multiple evaluations and funded accounts. It combines trading performance with the operational reality of prop trading: fees, resets, payouts, drawdown, consistency rules, and account status. Instead of showing only gross P&L, Adakti helps traders understand the true return of their prop trading activity across every account.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Adakti's answer

Most trading journals focus on generic performance metrics. Adakti adds the prop-firm layer that matters in practice: account costs, payout conditions, firm rules, and multi-account consolidation. It helps traders move beyond isolated dashboards and spreadsheets to see their actual net results, monitor key constraints, and review their trading process in one place. In the long run, Adakti will allow prop traders to find the firm best suited to their trading style.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Diffyn's answer:

React, Next.js, POSTGRESQL

Adakti's answer

Adakti is built for independent futures prop traders, especially those managing multiple evaluations or funded accounts across one or several prop firms. Its ideal users want a clearer, centralized and consolidated view of their trading performance, account status, payouts, costs, and prop-firm rules without relying on spreadsheets or fragmented dashboards.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Adakti's answer

We built Adakti out of a simple frustration: traditional trading journals show P&L and win rate, but they do not capture the real complexity of prop trading. Traders often manage several accounts while trying to track drawdown, payout rules, consistency requirements, fees, resets, and performance at the same time. Adakti was created to bring those pieces together and give prop traders a clearer, more realistic view of their trading activity. Our goal is to work closely with both prop firms and traders to help each side find the right fit and maximize overall profitability.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.