Vogel shelves his Jev reply spam ranker over cost
A working X anti-spam app that scored every reply with Jev got replaced the same day by a public blocklist fed by a Grok bot.
Vogel built an app that signs in with your X account, scores the spamminess of every reply you get with Jev, then auto-mutes the replying account and removes the comment. It works. He says he does not think he can release it, because it is expensive.
i don't think I can release it (it's expensive) but I have a solution for that soon
That is the whole result, and it is worth more than another demo. The failure is not accuracy, it is unit economics. Scoring every inbound reply is an unbounded per-item workload that scales with how much attention your posts get, not with how much value you extract from filtering them. A classifier call that is cheap enough in a batch job stops being cheap when a popular post generates hundreds of replies and each one needs its own inference, and the person paying is a single user who was never going to be billed for it.
What was not posted
No per-reply price, no volume, no accuracy or false positive rate. Vogel did not say what the app cost to run, how many replies it processed, or how often it muted someone it should not have. So the only thing established here is that one builder, on his own posting volume, decided per-reply scoring was not worth shipping. That is a data point about cost shape, not a benchmark, and anyone quoting it as a Jev pricing finding is overreading it.
The replacement is a list
He followed up the same day with a different approach. His Grok bot's entire purpose is now finding AI replies and putting them into a public list that other people's bots can block from, updated live, with an open invitation to reply and tag spammy accounts for inclusion. That trades a per-reply model call for a shared artifact. One pass over an account produces a verdict that every subscriber reuses, and the marginal cost of the next person blocking that account is zero.
my grok bots entire purpose now is finding AI replies and putting them into a public list that your bots can now block
For people building on it, the pattern to take is the amortisation, not the verdict on Jev. If your classification target is an account, a domain or a template rather than a one-off message, score it once and cache the answer somewhere everyone can read. Per-item inference is the right tool when each item is genuinely new. Reply spam, by Vogel's own account, is mostly the same accounts again.
Know what Jev is good at before you bet on it
One email a day. Under three minutes. What builders found out about Jev yesterday.