Deepx

We shipped a BIG update to Sol (hellosol.app)! Sol is for people who have consequential work in their inbox. The most fun part tho - was watching the bets behind this update play out with early users: - 100+ new emails a day - is the norm for a LOT of people: founders, execs, sales, recruiters, consultants, ops. - To make things interesting - every email asks for something different: a decision, an approval, a meeting, a proposal. - The heavy lifting is in: arriving at the decision, doing the review, picking if/when to meet, creating the proposal. - Drafting the reply - is merely the outcome of that heavy lifting. That alone doesn’t solve the real problem. That’s where Sol is different. It works on every email as soon as it arrives, does the heavy lifting each one needs, and prepares it for your approval. You approve or edit. It learns each time and keeps getting better. When your inbox is filled with highly consequential work, you need an assistant that’s doing the heavy lifting, continuously. That’s what we’re building Sol to be - proactive about what you need, 100 times a day, every single day. Extending early access to this big update ✌️

Today, we're introducing Agent Conversion Optimization → agentconversion.ai Muse, Instinct, Grok Bot already process $10B+ a year in GMV via agentic commerce. No GEO tool today tracks who they recommend. So we built it. Each agent behaves very differently from typical LLMs, so we track them separately, then Helena deploys the fixes. 1/ Daily tracking of who Muse, Instinct, Dots recommend, and why 2/ Share of recommendations vs your competitors 3/ Agent path to check out audit 4/ Fixes deployed by Helena to improve your discoverability This is hard to do reliably with little bias given how these agents behave, so we're starting with only 100 initial customers. Demo: