ForthWrite's answer

Next.js, React, Supabase, Anthropic Claude, OpenAI, Stripe, Vercel, Chrome Extensions API

Chartself's answer:

React, Node.js, Supabase (Postgres), Vercel, Stripe.

ForthWrite's answer

ForthWrite learns your writing style from your actual sent mail, not a generic prompt. Every draft sounds like you wrote it because it was trained on how you actually write. It also auto-drafts replies before you open your inbox, so your email is partially handled before your day starts.

Chartself's answer:

Chartself doesn't just log your trades. It uses AI to catch the specific habits quietly costing you money: revenge trading after a loss, performance leaks tied to certain times of day, risk rules broken under pressure. Each pattern comes with the actual dollar cost attached, not just a stat. It also runs AI insights on your own API key, so your trade data never trains a shared model.

ForthWrite's answer

Most AI email tools give you a blank box and a "write for me" button. ForthWrite builds a voice profile from your sent history and gets more accurate with every draft you edit or send. Unlike ChatGPT or Gemini, it works natively inside Gmail and Outlook with no copy-paste. Unlike Lavender, it writes the draft, not just scores it.

Chartself's answer:

Most trading journals show you what happened. Chartself tells you what it's costing you and why it keeps happening. Unlimited trade journaling is free (not a time-limited trial), it syncs automatically from a growing list of supported brokers, and the AI runs on your own key rather than a shared model.

ForthWrite's answer

Professionals who send high volumes of relationship-critical email and cannot afford to sound generic: lawyers, financial advisors, recruiters, account executives, consultants, and founders managing their own inbox.

Chartself's answer:

Beginner and early-stage traders who are still building discipline and want to understand why their trades keep going wrong, not just track that they happened. Chartself's free tier and AI-driven pattern detection make it easy to start building good habits from day one, without needing to already know what to look for in your own trading data.

ForthWrite's answer

Built out of frustration with AI writing tools that produce text that sounds nothing like the person sending it, and as a way to handle large amounts of daily email. The core insight was that your sent mail is the best training data you already have, and no tool was using it.

Chartself's answer:

Chartself started from my own trading losses. Like a lot of traders, the same costly habits kept repeating: revenge trading after a bad loss, blowing past risk rules in the heat of the moment, trading worse at certain times of day without realizing it. Manually digging through spreadsheets never made the pattern obvious until the damage was already done. Chartself was built to catch those patterns automatically and put a real dollar figure on them, so traders can see the cost before it repeats again.

Chartself's answer:

Chartself just launched, so we're focused on onboarding our first users right now rather than naming customers.