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Substy is the first platform to combine a full CRM and an autonomous AI chatbot in a single system built exclusively for OnlyFans and Fanvue agencies - and today it's the most widely adopted solution on the market.
The CRM is a complete agency workspace: add your chatters with custom access levels, let them chat directly from the platform, create and track tracking links (TikTok, Reddit, Telegram), classify fans automatically into Spenders, VIPs, Newbies, and Timewasters, and monitor every chatter's performance in real time - revenue, response rate, average basket.
The AI Chatbot runs 24/7 without human input. It sells PPV, handles objections, re-engages cold fans, and adapts its tone in any language - fully autonomous, not a co-pilot.
The hybrid mode is the game changer: AI handles fans below a spend threshold, human chatters take over only for VIPs. Agencies cut costs by 25% while automating 90% of messages.
Compatible with OnlyFans and Fanvue.
GitHub
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Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 3 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 10 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 10 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 11 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 20 days ago
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AgencyKey - The ultimate CRM for OnlyFans agencies. Manage teams, track earnings, control access, and scale your business with real-time analytics.
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BotEngine - Your personal chatbot factory