Features
Every feature exists to answer one question: does this sound like you?
Most AI reply tools optimize for "sounds smart" or "sounds nice." ekoreva optimizes for "sounds like the person who's about to hit send." That's a narrower goal, and it's the one that actually matters when your name is attached to the reply.
Voice match score
Every suggestion is scored against your own writing patterns, computed locally across a dozen dimensions: sentence length, punctuation habits, how you open a reply, how much slang you use, whether you capitalize the first letter. No extra API round-trip, no guesswork. You see the number before you decide whether to trust the suggestion.
Reads the whole thread
Before it suggests anything, it reads the tweet above yours, the top replies already posted, and (on paid plans) video frames. It won't hand you a reply that says the same thing three other people already said in that thread.
Niche-aware timing
Detects your niche (crypto, indie hacker, tech, whatever you actually post about) and flags tweets worth replying to while the engagement window is still open, instead of three hours later when the thread's dead.
DMs are architecturally off-limits
This isn't a settings toggle you could accidentally flip. The overlay code has no path that runs on /messages. Shadow Voice, the passive learning system, only ever watches the public reply compose box. If you're wondering whether an AI extension can read your private messages, the honest answer for ekoreva is: it can't, because the code that would do that doesn't exist.
The brain, not a prompt template
Every reply you pick gets stored. After about 50 saved entries it has real behavioral data to draw on. After 200, people who know you start asking if you wrote it yourself at 2am. It also learns from your manually-typed replies through Shadow Voice, so it keeps improving even on days you don't use the overlay.
Weekly persona score
A weekly score tracking how consistent your replies stayed with your detected voice, plus exactly which phrases drifted and when. Useful for anyone managing a brand voice across a busy week, or just curious if they've been phoning it in lately.
Related reading
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