SaaS founders sourcing prospects
Find people explicitly describing the problem your tool solves — by industry, role, and recency.
WYSZUKIWARKA ODBIORCÓW AI · ŚLEDCZY
Znajdź swoją publiczność.
Prawdziwe nazwy użytkowników. Prawdziwe rozmowy. Opisz swój problem zwykłym językiem, a nasza AI czyta publiczny web, rozumie intencję i wyłania ludzi, którzy narzekają, polecają i szukają. Zamień sygnał społeczny w listę leadów w pięć minut.
No card. 3 free investigations. Results in < 5 min.
Live signal
See the signal decrypt.
A live sample of what an investigation surfaces — real usernames, real quotes, real timestamps. Streaming in as the index updates.
investigation_07412.log LIVE INDEX
u/notion_struggles Honestly the search in Notion is unusable. I have 4K notes and cannot find anything. r/Notion · 14h
@priya_b Anyone else looking for a Calendly replacement that actually works with 3 calendars? X · 2d
/in/marc-fellow HubSpot reporting is a black box. We are paying $4.8K/mo for charts I cannot trust. LinkedIn · 3d
u/saas_curious_pm Looking for an actually-cheap SOC2 vendor — Vanta quoted us $28K, that is a non-starter for a 6-person seed startup. r/SaaS · 6h
@dev_ana Vercel pricing is mental. Anyone moved away successfully without breaking ISR? X · 11h
u/growthhacks_throwaway Asana is so slow now I can hear my laptop fan when I open it. Need a replacement. r/SaaS · 1d
@founder_jess My CRO and I have spent 14 hours this week trying to make Marketo dashboards make sense. What do people actually use? X · 4h
u/nx_struggles
@priya_b
marc-fellow
u/saas_pm
@dev.ana
u/gh_throw
@founder_jess
a-l-orozco
u/ops_mira
@devon_w
@ramp_curious
u/hn_lurker_
m-takahashi
@n_castillo
412M
publicznych postów na 8 platformach
4,2 min
mediana czasu do pierwszego leada
94 %
znajduje prawdziwy lead w wersji próbnej
11
źródeł na wyszukiwanie
The premise
Przestań zgadywać, kto potrzebuje tego, co sprzedajesz.
Gdzieś na Reddicie product manager pisze 1200 słów o zepsutej wyszukiwarce Notion. Te osoby istnieją.
See an investigation → example query · 2 min ago
$ crowdscope investigate
"product managers complaining about Notion search, last 30 days"
› scanning 8 platforms…
› reddit: 218 posts (r/Notion, r/SaaS, r/productivity)
› x: 94 posts
› linkedin: 67 public comments
› hn + indie hackers: 33 threads
→ 412 named individuals · CSV ready
Where we listen
Eight platforms. Native grammar. One index.
Hover a column to expand. Each platform is parsed the way its users actually post — Reddit threads stay threaded, X posts stay timestamped, LinkedIn comments stay attached to the post they reply to.
Before & after
What changes when you stop guessing.
The same growth lead, same week, same target audience. Hand-rolled outbound on the left. A Crowd Scope investigation on the right.
Before · the rotation
Hand-rolled list, hand-read sources, hand-curated rows
- Monday 9:00 — open 14 tabs: Reddit search, X advanced search, LinkedIn company filter, Indie Hackers, HN.
- Monday 11:30 — 22 promising posts found, 4 are 18 months old, 2 are bots, 6 are not actually the ICP.
- Tuesday — copy-paste usernames into a Notion doc. Manually find emails. 11 enriched of 22.
- Wednesday — write 11 cold emails referencing each person's quote.
- Thursday — pause for fires. Lose context. Restart Friday.
After · Crowd Scope
One natural-language query. 412 named individuals. CSV.
- Monday 9:00 — type the problem into Crowd Scope. Pick recency window. Hit go.
- Monday 9:06 — 412 rows. Username, quote, source URL, date, platform.
- Monday 9:30 — push to Clay. Enrich emails on the 412. ~340 valid.
- Monday afternoon — first 40 sequenced. Each references the exact quote each person wrote.
- Tuesday — 8 replies. 3 booked calls. Pipeline started.
Editorial
Najuczciwsze badanie rynku jest już publiczne.
Ludzie nie wypełniają ankiet. Tweetują.
Znaleźliśmy 218 PM-ów narzekających na wyszukiwarkę Notion w 30 dni. Anaïs L., Head of Growth, Reflect AI
Use cases
Six ways teams are using it.
Crowd Scope is not a category — it is a method. Here is how four different roles run investigations on the same index.
GTM teams running outbound
Replace cold-list scraping with high-intent named individuals. Every row has a quote you can reference in your first message.
PMMs doing competitor research
"People leaving Asana for…" "Frustrations with HubSpot…" — discover the real switching reasons, not the survey-curated ones.
Founders testing product hypotheses
Before building the feature, find the 50 people on Reddit and X who already asked for it. Validate, then ship.
Content marketers finding what to write
Index real frustrations to inform a 12-week editorial calendar. Every post is a real question a real person asked, on a real day.
Agencies pitching new accounts
Walk into the pitch with 80 named individuals from the prospect's target ICP, each posting publicly about the prospect's problem.
What it does
Jak działa śledztwo.
Nie alert. Nie dashboard. Prawdziwa metoda badawcza, zautomatyzowana przez AI.
Method
Built like an investigation, not a dashboard.
Every search starts with a person, not a metric. We surface the username, the platform, the day they posted — and the exact words they used. You read the case file before you write the first message.
Username · quote · source URL · date · platform.
01
Zapytania problemowe
Wpisujesz ból, nie produkt. AI rozumie intencję i buduje zapytanie.
02
Natywne parsowanie
Reddit, X, LinkedIn, TikTok, Hacker News, Indie Hackers, Product Hunt, Discord.
03
Rozdzielczość na poziomie usera
Każdy wynik to osoba.
04
Ranking po świeżości
7, 30, 90 dni.
05
CSV na wyjściu, CRM na wejściu
Eksportuj 50, 500 lub 5000 leadów.
→
Built by people who used to do this manually
We come from a growth team where three of us spent every Monday morning reading Reddit. We are the team most likely to feel embarrassed if it does not work.
Process
Trzy kroki. Bez SQL.
01
Opisz problem
Naturalnym językiem. AI rozumie intencję, synonimy i slang.
02
Skanujemy publiczny web
Osiem platform. Wyniki w 2-6 minut.
03
Eksportuj i kontaktuj się
CSV, Clay, Apollo, HubSpot.
From the field
What people who used it said.
"It took our cold outbound reply rate from 1.4% to 6.2% in eight weeks. Same SDR, same product. Just better lists."
"I ran a search for 'people who built their own RAG and regret it' on a Sunday. Found 47. Booked 9 demos that week."
"We replaced our 'social listening tool' with this and saved $14K/year. The honest comparison is they are not the same product."
Pricing
Ceny dla tych, którzy wykonują pracę.
Bez "skontaktuj się ze sprzedażą".
Notes
Darmowy
For trying it out.
- 3 investigations / month
- 500 results per investigation
- All 8 platforms
- CSV export
Zestaw
$49/mies.
For weekly outbound rhythm.
- 50 investigations / month
- 5,000 results per investigation
- Clay + Apollo + HubSpot + Notion integrations
- Saved searches with weekly digest
- API access (read-only)
Redakcja
$199/mies.
For teams running multiple plays.
- Unlimited investigations
- Up to 25,000 results per query
- 5 seats included
- Full API + webhooks
- Priority indexing on new platforms
- Slack + ICP coaching
FAQ
Co nas pytają.
Czy to legalne?
Indeksujemy publicznie dostępne posty.
Różnica vs Brandwatch?
One alarmują przy wzmiance. My robimy odwrotnie.
Mogę szukać konkurenta?
Tak.
Koszt typowego śledztwa?
500 wyników, 30 dni = 1 kredyt.
About
For founders who'd rather read the conversation than guess at it.
Crowd Scope is a quieter way to do go-to-market. No spray-and-pray. No invented personas. You sit with the actual words your future customers wrote, the day they wrote them — and then you reply.
Slow research · fast outreach.
Your next 100 customers are already complaining about something.
Darmowy trial. Bez karty.
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