Evidence, not vibes
Vera reads full Reddit threads, comment trees, and live X search — then quotes the exact people asking for your feature, with links you can click.
Vera is a Linear agent that pressure-tests your tickets against Reddit, X, and competitor changelogs — and posts a verdict with real evidence in about 90 seconds. Mention it. That's the whole workflow.
Roadmap · Q3 candidates
Marketing keeps asking for a way to tag hundreds of assets at once. Proposal: multi-select in the library view + “apply tags” bulk action. Do our users actually need this, or is it one loud customer?
@Vera validate this before we commit it to the sprint
Demand evidence
“Tagging 400 assets one by one is the reason we're shopping for a new DAM. Bulk actions or we walk.”
reddit · r/DigitalAssetMgmt · ▲ 212 · 47 comments
“every DAM demo: 'yes we have tags!' cool, can I apply them to 2,000 files at once? …silence”
x.com · 1.4k views · 38 reposts
Competitor coverage
Recommendation: Strong, repeated demand across both communities, and Air shipped it in March — the market has validated this for you. Build it, and lead with speed on large libraries.
reddit · r/DigitalAssetMgmt
“Bulk actions or we walk. Tagging 400 assets one by one is insane.”
▲ 212 · 47 comments
DAM-42 · comment
@Vera validate this before we commit it to the sprint
ack in <1s
bynder.com/roadmap
No change in 14 days
3 issues watching
DAM-73 · comment
@Vera is anyone actually asking for SSO on the free tier?
ack in <1s
DAM-42 · Bulk tagging
demand 8/10
x.com
“cool, can I apply tags to 2,000 files at once? …silence”
1.4k views · 38 reposts
reddit · r/ProductManagement
“We shipped it. Nobody used it. Nobody had ever asked for it.”
▲ 89 · 31 comments
x.com
“every DAM demo: 'yes we have tags!' — no one has bulk apply”
812 views · 12 reposts
air.inc/changelog
Shipped: bulk exports
matched DAM-51
DAM-67 · AI mood boards
demand 2/10
DAM-58 · Version diffs
demand 5/10
brandfolder.com/changelog
Shipped: duplicate detection
matched DAM-33
How it works
The whole pipeline runs where your team already lives — the only interface is a Linear comment thread. Watch a full run, end to end.
Zero organic mentions across Reddit and X in the last 12 months. No competitor lists it on a changelog or roadmap. The demand is internal, not market. Recommend skipping — this was six scoped weeks.
researched for 84s · 0 quotes found · 4 changelogs checked
Air shipped bulk exports this morning — the exact feature this issue proposes. They’ve validated it for you. Consider moving it up.
change detected → issue matched → commented in 2 min
The challenge
Vera turns hours of manual validation into a single @mention — deep research, a scored verdict, and standing competitor monitors, all inside Linear.
Vera reads full Reddit threads, comment trees, and live X search — then quotes the exact people asking for your feature, with links you can click.
Build, Investigate, or Skip — with a 0–10 demand score and a one-paragraph rationale. Weak tickets die before sprint planning, not after launch.
Manual research meant nobody did it. Vera makes the honest check the cheapest, fastest step in the workflow — so every ticket gets one before it costs you a sprint.
From @mention to a scored verdict
API spend per validation
Competitor pages re-checked, around the clock
Everything you need to know about putting Vera to work on your backlog. Something missing? Ask away.
Vera is an AI agent that lives inside Linear. Mention @Vera on any issue and it researches real demand across Reddit, X, and competitor changelogs, then posts a Build / Investigate / Skip verdict with a 0–10 demand score and linked evidence — in about 90 seconds.
Put a verdict on every ticket before it costs you a sprint. One @mention, 90 seconds, real evidence.