23hspent per week
synthesizing user feedback across Reddit, App Store, support tickets, sales calls — 60% of which never makes it into a doc.
Source: internal benchmarks · proxy stat #11 / 3
For startup builders & new product PMsTurn 40k posts of
Turn 40k posts of
noise into your
next feature.
Point Gap Map at Reddit, HN, G2, Twitter, and 9 more sources. In one sweep it extracts ranked pain points, DIY workarounds, and market gaps — so you stop guessing what to build.
No card needed · macOS desktop · activation in 2 mins
13 source typesBYOK AILocal-first storage
SRAMPKDL
Trusted by product teams at research-first startups
Gap Map — Source Ingest · WildDex
17
Pain points
13
Sources live
4
Workarounds
40k
Posts swept
Top gap signals — AI analytics toolsActive sweep
Data export limits
82%
No offline mode
67%
API rate limits
54%
Missing integrations
41%
source:redditsource:hnsource:g2source:twitter+9 more
Gap detected
82% of users request better export — no competitor has solved this yet.
Trusted by research teams at
AAnthropic
NNotion
LLinear
SStripe
SPShopify
VVercel
FFigma
PPinecone
10×
Faster than manual research synthesis
40k
Posts indexed across 13 sources per sweep
87%
Reduction in unattributed roadmap decisions
13
Source types ingested and cross-referenced
The synthesis taxYou’re already paying
You’re already paying
for the work this replaces.
Every product team with more than three customer-feedback channels runs into the same arithmetic: someone is doing it manually, badly, and on borrowed time.
$58kannual cost
of a single PMM doing manual signal harvesting at $50/h. The work is repetitive, error-prone, and impossible to audit.
Source: internal benchmarks · proxy stat #21 in 7decisions
shipped without supporting evidence, according to a 2025 ProductBoard survey of 312 product teams.
Source: internal benchmarks · proxy stat #3Before / afterFrom spreadsheet sprawl to
From spreadsheet sprawl to
one auditable graph.
Same week. Same product team. Same 1,890 posts of customer signal. Two very different outcomes.
Without Gap Map
Manual synthesis sprawl
- Spreadsheets of links across 6+ tools
- Quotes copy-pasted, attribution lost
- Re-research every quarter when memory fades
- Decisions defended with vibes, not citations
- Insights die with the analyst who left
~23 hours / week · 4 tools · zero receipts
The Gap Map wayWith Gap Map
One auditable graph
- 1,890 posts deduped across 16 sources in one click
- Every finding cites a re-pullable post id
- Snapshots survive team turnover
- Decisions ship with a 60-page evidence appendix
- Quarterly diff: ‘what changed since last sweep’
~3 hours / week · 1 app · every claim cited
MethodologyAuditable and repeatable.
Auditable and repeatable.
Every time.
1
Ingest multi-source signals
Point Gap Map at Reddit, HN, G2, Capterra, App Store reviews, arXiv, Twitter, and 6 more. The pipeline fetches and normalises in one sweep.
2
AI extracts structured pain points
Using your own API key (BYOK), Gap Map classifies each post into structured insights — pain, workaround, request, praise — with entity tagging and severity scoring.
3
Inspect in the gap map view
Every insight links back to its source post. Navigate by topic workspace, filter by source type, and see frequency curves across time.
4
Export decision-ready reports
One-click export to structured markdown or PDF. Bring traceable evidence to roadmap reviews, GTM briefs, or investor updates.
Source pipeline · last sweep 1h ago
r/
LiveReddit
1,240 posts
Y
LiveHacker News
890 posts
G2
StaleG2 Reviews
340 reviews
𝕏
LiveTwitter / X
2,100 posts
↓
AI-extracted gaps
Data export limits (82%)No offline mode (67%)API rate limits (54%)Missing integrations (41%)
See it in motionFour moments,
Four moments,
three minutes total.
Pick the part of the workflow you care about. We'll start a focused screen-capture instead of a marketing reel.
gap-map · Topic canondemo · 12s
01 · Topic canon
Type a topic. We canonicalize it.
LLM-backed typo correction + 12-source query expansion. One sentence in, a research-ready topic out.
macOS 13+Apple Silicon · Intelno signup needed to watch
Click any moment on the left to switch the focus
CapabilitiesEverything your
Everything your
research team needs.
Built for product teams that make evidence-based decisions. Every feature is designed to reduce the gap between signal collection and confident shipping.
Multi-source ingest
Fetch from Reddit, HN, G2, Capterra, arXiv, Twitter, App Store, Product Hunt, and more — normalised into one timeline.
AI insight extraction
BYOK architecture — your API key, your data. Gap Map classifies each post into pains, workarounds, requests, and sentiment.
Graph map view
Visualise relationships between pain points, products, and evidence threads. Find clusters and outliers at a glance.
Topic workspaces
Organise research by market, problem space, or product line. Each workspace maintains its own source set and gap index.
Report export
Export to markdown or PDF with source attribution intact. Bring traceable evidence to any stakeholder meeting.
Desktop-first privacy
Runs locally on your Mac. Data stays on your machine. No cloud processing, no vendor lock-in, no data policy surprises.
Evidence architectureThree layers. Zero
Three layers. Zero
black boxes.
Every insight is traceable from conclusion back to raw source post. Research credibility starts with transparency.
Raw source layer
Verbatim posts stored locally with timestamp, author context, and source attribution. Immutable and fully inspectable.
RedditHNG2TwitterarXivApp Store+ 7 more
AI extraction layer
Each post processed by your own AI key into structured insight records: type, severity, entity, frequency signal — all linked back to source.
Decision output layer
Gap map, ranked pain lists, and export reports. Every item in this layer hyperlinks to the extraction chain that produced it.
Use casesBuilt for teams that need
Built for teams that need
evidence, not opinions.
Same product, three high-leverage workflows. Pick your operating mode and ship with traceable confidence.
Prioritize roadmap using live market evidence
Roadmap debates stall because feedback is scattered across reviews, forums, and support channels.
Outcome: Gap Map unifies the signal and ranks what to build next with direct source proof for every priority.
Common result: planning meetings shift from opinion-driven to evidence-linked.
Run repeatable sweeps across fragmented sources
Manual synthesis across Reddit, HN, G2, and literature creates latency and inconsistency.
Outcome: Standardized ingestion + extraction pipeline gives a consistent method and reusable evidence structure.
Common result: faster turnaround and easier QA across recurring studies.
Track competitor blind spots before launches
Competitor monitoring is ad hoc and insights are hard to tie back to verifiable customer signals.
Outcome: Gap clusters and trend shifts surface where competitors are weak, with citations for GTM positioning.
Common result: stronger launch narratives and sharper differentiation.
Value mathEstimate your research
Estimate your research
time-to-insight ROI.
Conservative model: teams that move manual synthesis into Gap Map typically reclaim ~45% of research processing time.
Your estimated upside
Monthly research hours
256h
Manual monthly cost
$11,520
Potential monthly savings
$5,184
Projected annual impact
$62,208
Illustrative estimator for planning discussions. Your result depends on source volume, workflow maturity, and team process.
Comparison
How Gap Map stacks up.
| Capability | Gap Map | Dovetail | Notion AI | Manual research |
|---|---|---|---|---|
| Multi-source ingest (13+) | ✓ | partial | — | — |
| BYOK / your own AI key | ✓ | — | — | — |
| Fully local / offline desktop | ✓ | — | — | ✓ |
| Source-linked evidence trail | ✓ | ✓ | — | manual |
| Gap / pain point mapping | ✓ | manual | — | manual |
| Competitor intelligence | ✓ | — | — | manual |
| Decision-ready export | ✓ | ✓ | ✓ | manual |
Pricing
Simple, transparent pricing.
Token-based usage on top of a flat monthly seat. Bring your own AI key to control costs.
Starter
For individuals and early teams validating product direction.
$9.99per month
- ✓10,000 tokens / month included
- ✓Up to 3 topic workspaces
- ✓1 device activation
- ✓All source types
- ✓Markdown report export
- ✓Email support
Pro
For research-driven product teams running continuous market sweeps.
$29.99per month
- ✓50,000 tokens / month included
- ✓Unlimited topic workspaces
- ✓Up to 3 device activations
- ✓Priority source crawling
- ✓PDF + markdown exports
- ✓Competitor tracking dashboard
- ✓Priority support
Need more tokens? Top up anytime. BYOK users get unlimited AI inference at cost.
Why it’s safe to tryFour reasons you can
Four reasons you can
commit without worrying.
We removed the four anxieties product teams told us killed the install button. Each one is a concrete guarantee, not a slogan.
01
Free forever for solo researchers
20 topics, 12 sources, full export. No credit card. Use it on real work indefinitely — we make money on teams, not on you.
02
Local-first, your data never relays through us
Posts, painpoints, exports — all on your machine. We can't read your research even if we wanted to. There is no cloud database with your name on it.
03
BYOK — pay AI providers at cost
Your OpenAI / Anthropic / Ollama key. Your billing dashboard. Your spend caps. We don't mark up inference.
04
Cancel-without-asking
Toggle one switch in Settings → Billing. Your local data stays on your Mac forever. No retention email, no exit interview, no pro-rated drama.
Security and privacyTechnical trust,
Technical trust,
designed into the stack.
Gap Map is built for teams that need strong evidence workflows without leaking sensitive research artifacts to third-party clouds.
What never leaves your machine
- • Raw ingested posts and workspace notes
- • Extracted evidence graph and source links
- • Topic schemas, query configs, and report drafts
BYOK architecture
Bring your own OpenAI/Anthropic key so your inference path and spend controls stay under your account, not ours.
Local-first evidence store
Workspace data, extracted insights, and report artifacts are stored on your machine by default with no relay service.
Traceable output chain
Every exported conclusion can be traced back to source records, helping teams defend decisions with auditable evidence.
FAQQuestions we hear
Questions we hear
from product teams.
Can’t find your answer here? Write to us at support@gapmap.app and we’ll reply within one business day.
Contact supportBYOK (Bring Your Own Key) means Gap Map uses your own OpenAI or Anthropic API key for AI inference. Your data never passes through our servers. You control costs, you control data residency.
Our promiseWe promise
We promise
three things.
Every claim is cited.
Re-pull any post with one SQL query. We ship the schema, the IDs, and the receipts.
Your research stays yours.
Local SQLite, local ChromaDB, local PyInstaller sidecar. Zero relay servers in the loop.
If it doesn't pay back in 30 days, we will refund you.
Pro plan only. Email support@gapmap.ai with your workspace ID. No questions, no clawback windows.
Start your first
research sweep today.
Download for Mac, activate your free account, and run your first 40k-post gap scan in under 10 minutes.
macOS 13+ · Apple Silicon & Intel · Account + activation required before first workspace
Research teams ship
with more confidence.
“We used to spend two weeks synthesising research before a roadmap review. Gap Map cut that to two days — with better source coverage than we had before.”
Shreya R.
Head of Product, Bangalore
“The BYOK model was the deciding factor. Our security team would never approve a tool that sends customer verbatim to a vendor cloud. Gap Map just works differently.”
Arjun M.
Principal Engineer, Series B startup
“The evidence trail is everything. When I show an insight to my CEO I can click through to the actual posts behind it. That conversation changed completely.”
Priya K.
Research Lead, Product agency