Feature — Learning Loop
It doesn't just edit. It learns what works.
HEVEA Pulse connects to Instagram Insights and adjusts what it selects and recommends based on what actually performs — per editorial profile.
The concept
Most tools give you the same output week after week. This one doesn't.
Standard content automation selects clips based on fixed rules — motion quality, audio clarity, clip length. Those rules don't change whether your last post reached 500 people or 50,000.
The Learning Loop works differently. Every piece of content HEVEA Pulse publishes generates a signal. That signal — save rate, watch completion, profile click-through — feeds back into how the next week's selection is scored.
The outcome: the first edit you receive each week gets closer to what your specific audience actually wants. Not what worked for someone else — what works for yours.
How the loop works
Publish. Measure. Adjust. Repeat.
Each cycle takes one week. After a few cycles, the selection model is calibrated to your audience — not a generic average.
Content is published
HEVEA Pulse posts your reel, carousel, or long-form cut to Instagram directly.
Insights are read
After 48–72 hours, performance data is pulled from Instagram Insights — reach, saves, watch time, profile visits.
Signals are weighted
High-performing clip types, topics, and visual styles are flagged. The system notes what your specific audience responds to.
Selection adjusts
The next week's clip scoring is informed by last week's results. Better candidates surface earlier in the review queue.
Per-profile independence
Two founders. Two audiences. Two independent models.
HEVEA Pulse supports multiple editorial profiles under a single account — each with its own connected Instagram profile, its own audience, and its own Learning Loop.
What performs on a construction-focused build audience is not what performs on a SaaS founder audience. The learning is kept entirely separate — nothing bleeds between profiles.
Profile A — Founder, construction build
Audience: Entrepreneurs interested in international property and relocation
What it learned
Site visits and milestone moments outperform desk-based talking-head clips. B-roll of construction progress with subtitled narration gets more saves than raw vlog footage.
How it adjusted
Construction thread clips are scored higher when paired with ambient audio. Clips under 45 seconds are preferred.
Profile B — Co-founder, product and finance
Audience: SaaS founders and investors tracking a bootstrapped build
What it learned
Whiteboard and screen-share clips drive more profile visits than lifestyle footage. Macro commentary posts generate the highest comment volume.
How it adjusted
Business thread clips with visible data or text overlays are prioritised. Reel pacing shifts to slightly faster cuts.
Qualitative improvement over time
Illustrative — content quality and relevance improve as the system learns your audience. Not based on fabricated metrics.
A system that improves the longer you use it.
Start week one. Let the loop do the rest.