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The daily map of underserved builder problems — sourced from real conversations, scored by blue-ocean opportunity, refreshed every morning.

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Today's top pick · TECH Corroborated

AI Model Benchmark Tester

◆ theme · AI Model Management
3
builder posts asking posts→
3
people asking
7
rivals prices→
$4/mo
cheapest rival
“I am getting a hard time trying to compare the two models, so I am asking it here” view original post ↗
Hard requirements 2
localmacOS
What they tried & dropped 2 verbatim
Qwen 3.8 “narrowly tailored training data” verbatim · source ↗
MTPLX (no stated shortcoming) verbatim · source ↗
Pain, in numbers
5 days
“I spent five days”
quoted · src ↗
100 GPU hours
“over 100 GPU hours”
quoted · src ↗
More in their words 2 quotes
“Qwen3.8 surprises from more extended testing”— reddit · r/LocalLLaMA
“Running Qwen 3.6 35B A3B-Q8_0 gguf on a cheap radeon 7600 at 18 token/s * update increased to 21 t/s”— reddit · r/LocalLLaMA
see the full evidence ↗
Rivals shipping 1
Vals.ai$4/mo
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7-day signal trend
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AI AGENTS

66 gaps · theme · Clear filter →
EvidenceValidatedCorroboratedEarly signal SectorAllTechNo-CodeeCommerceCreatorMSPAccounting
Freshness All timeThis week30 days
Top themes Self Hosted Operations ·79File Docs ·79AI Agents ·67No-Code Automation ·61Shopify Operations ·58
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Built different

Real signals, not vibes

Every gap is sourced from a real builder post, GitHub issue, or product review — never invented. Click any source chip to verify.

Transparent scoring

Our 5-signal model (Pain · Demand · Supply · Trigger · Pay) is open. See exactly why each gap ranked where it did.

Early, not late

Surface opportunities before mainstream coverage arrives. Build on the trend, not after.

How it works

STEP 1

Listen

We track 1,290 builder conversations a day across Reddit, Hacker News, GitHub, Product Hunt, Bluesky, and indie founder discords.

STEP 2

Score

Each gap is graded on 5 signals — pain, demand, supply, trigger, willingness to pay — and ranked by build likelihood.

STEP 3

Deliver

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