Stop guessing what your audience loves. StreamPulse analyzes your Twitch chat logs and shows you exactly how your audience felt — minute by minute — throughout your entire stream. Paste any chat log (Chatty, Chatterino, StreamElements, raw export) and StreamPulse scores each 5-minute segment 0-10, builds a visual sentiment timeline, flags your peak moments and worst drops, and gives you a prioritized list of exactly what to replicate or cut next stream. ## What's included - **5-minute segment scoring** — 0-10 sentiment scale: velocity + emote sentiment + chatter diversity - **ASCII sentiment timeline** across your full VOD; see the shape of your stream at a glance - **Peak + drop + inflection explanations** — every hype spike and sentiment crash tied to the content that caused it - **Twitch emote semantics** — Pog, KEKW, monkaS, Sadge, OMEGALUL + 20 more as first-class sentiment signals - **Raid + sub-train noise separation** — scores reflect real organic engagement, not artificial spikes - **Clip recommendations** — exact timestamp ranges + virality score per recommendation - **Cross-stream pattern tracking** — by stream 5, the agent knows your triggers cold - **Post-stream report** — 3 most actionable changes for next stream - **No Twitch API / OAuth / integrations** required ## Limitations - **Not a chat moderation tool** — analyzes after the fact; live moderation lives in Nightbot / Streamlabs / Mod View - **Not a clip generator** — recommends timestamps; you cut + render via Twitch Clips / OBS / video editor - **Chat-log-only** — doesn't analyze audio, video, or game-state signals (those compound the chat signal but aren't sources here) - **Single-channel scope** by default — multi-channel networks run per-channel sessions - **Twitch-format-focused** — YouTube live chat + Kick adapt as starter templates ## Best fit Growing streamers (50-2K concurrent) who want to understand what content keeps viewers engaged vs what kills the vibe. Creators uploading VODs as YouTube content who need to know which segments to cut. Streamers running varied content (gaming + IRL + Just Chatting) wanting data on which format performs best. Especially valuable for streamers who end with "I have no idea if that went well" — converting hunches into specific sentiment data is the difference between guessing what to do more of and knowing.
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