Crowd Scope — investigative magazine collage of social profiles

KI-AUDIENCE-FINDER · INVESTIGATIV

Finde dein Publikum.

Echte Usernamen. Echte Gespräche. Beschreibe dein Problem in natürlicher Sprache und unsere KI liest das öffentliche Web, versteht die Absicht und bringt die Menschen hervor, die sich beschweren, empfehlen und suchen. Verwandle soziales Signal in unter fünf Minuten in eine Lead-Liste.

Untersuchung starten Beispiel ansehen

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.

Editorial annotated visualization of a Reddit thread — stacked cards with terracotta vote arrows, hand-drawn annotations and a magnifying glass — Real threads. Real frustrations. Indexed in 5 minutes.

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

412 Mio.

öffentliche Posts auf 8 Plattformen

4,2 Min.

mediane Zeit bis zum ersten Lead

94 %

finden im Test einen echten Lead

Quellen pro Suche abgeglichen

The premise

Hör auf zu raten, wer braucht, was du verkaufst.

Irgendwo auf Reddit schreibt ein Product Manager 1.200 Wörter über die kaputte Notion-Suche. Auf X fragt eine Founderin nach SOC2-Software. Diese Menschen existieren, haben Namen und fragen explizit nach dem, was du gebaut hast. Crowd Scope findet sie — nach Problem, Plattform, exakter Phrase.

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.

128M indexed posts

The most candid signal on the internet. We parse r/SaaS, r/marketing, r/devops, r/productivity, and 240 industry subs — full thread context, not just the headline. "I have spent 4 hours rebuilding a HubSpot funnel chart in Google Sheets because the native one is wrong."

𝕏

X / Twitter

187M indexed posts

Real-time complaints, recommendations, and "looking for" tweets. We surface single tweets and full threads, ranked by recency × specificity, not virality. "Quitting Calendly for SavvyCal. Anyone done this? Drop me a DM I want to compare notes."

in/

48M public posts

Comment threads where buyers vent. We focus on the public layer — company posts, public comments, articles — and respect the platform's gated content boundary. "Three months in with Salesforce Marketing Cloud. Honest take: I would not recommend it to a friend."

TikTok captions

24M captions parsed

Underrated source. Founders and PMs increasingly post product complaints as captions on talking-head videos. We index captions + transcripts of public videos. "POV: you are a Notion power user and the search just cost you a meeting. Again."

Hacker News + Indie Hackers + Product Hunt + Discord

25M posts + 4K servers

The dev-led long tail. HN comment chains, IH revenue posts, PH ship logs, and public Discord servers where founders ask each other what tools they actually pay for. "Looking for a Mixpanel alternative for a 12-person startup. Budget: under $500/mo. Real recommendations only please."

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.

22 hours · 11 contacted · 1 reply

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.

2 hours · 40 contacted · 8 replies · 3 calls

Editorial

Die ehrlichste Marktforschung ist bereits öffentlich.

Menschen füllen keine Umfragen aus. Sie tweeten. Sie posten in r/SaaS um 2 Uhr morgens. Sie hinterlassen 1-Stern-Reviews. Jede Founderin hat denselben Instinkt — lesen, was die Leute wirklich sagen — aber das skaliert nicht. Crowd Scope ist dieser Instinkt auf einen echten Index gerichtet.

Wir fanden 218 PMs, die sich in 30 Tagen über die Notion-Suche beschwerten. 40 ein Loom geschickt. Zwölf haben gebucht. Das war Woche eins. 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.

SaaS founders sourcing prospects

Find people explicitly describing the problem your tool solves — by industry, role, and recency.

avg: 412 named leads / search

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.

4.2× higher reply rate vs Apollo lists

PMMs doing competitor research

"People leaving Asana for…" "Frustrations with HubSpot…" — discover the real switching reasons, not the survey-curated ones.

used by 38 PMM teams

Founders testing product hypotheses

Before building the feature, find the 50 people on Reddit and X who already asked for it. Validate, then ship.

avg: 5 min to first signal

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.

avg: 90 topics per investigation

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.

used by 16 growth agencies

What it does

So funktioniert eine Untersuchung.

Kein Keyword-Alert-Tool. Kein Sentiment-Dashboard. Eine echte Recherche-Methode, automatisiert mit KI.

Field notes from a Crowd Scope investigation.

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.

Problem-orientierte Suche

Du tippst den Schmerz, nicht das Produkt. Die KI versteht die Absicht und baut die Query.

Plattform-natives Parsing

Reddit, X, LinkedIn, TikTok, Hacker News, Indie Hackers, Product Hunt, Discord. Jede in eigener Grammatik.

Auflösung auf Username-Ebene

Jedes Ergebnis ist ein Mensch — klickbar, exportierbar, rückverfolgbar.

Aktualitätsgewichtetes Ranking

7, 30, 90 Tage. Wir zeigen, was jetzt gesagt wird — nicht ein Thread von 2022.

CSV raus, CRM rein

Exportiere 50, 500 oder 5.000 Leads. Ein Klick zu Clay, Apollo, HubSpot, Notion.

→

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

Drei Schritte. Kein SQL.

Problem beschreiben

In natürlicher Sprache. Die KI versteht Absicht, Synonyme und Slang.

Wir scannen das öffentliche Web

Acht Plattformen. Ergebnisse in 2 bis 6 Minuten.

Exportieren und ansprechen

CSV, Clay, Apollo, HubSpot, Notion. Du entscheidest, was als Nächstes passiert.

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

Preise für die, die die Arbeit machen.

Kein "Sales kontaktieren"-Tier. Jeder Plan schaltet jede Plattform frei.

Notizbuch

Kostenlos

For trying it out.

3 investigations / month
500 results per investigation
All 8 platforms
CSV export

Untersuchung starten

Werkzeug

$49/Monat

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)

Untersuchung starten

Redaktion

$199/Monat

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

Untersuchung starten

FAQ

Was man uns fragt.

Ist das legal? Ihr scraped Plattformen.

Wir indexieren öffentlich zugängliche Posts. Wir respektieren Robots, fassen keine privaten Gruppen oder DMs an.

Wie unterscheidet sich das von Brandwatch oder Sprout?

Diese Tools alarmieren, wenn deine Marke erwähnt wird. Crowd Scope macht das Gegenteil.

Kann ich nach dem Namen eines Konkurrenten suchen?

Ja — "Leute, die Asana für etwas Schnelleres verlassen" ist eine valide Anfrage.

Was kostet eine typische Untersuchung in Credits?

500 Ergebnisse, 30 Tage = 1 Credit. Notizbuch 3/Monat, Werkzeug 50/Monat, Redaktion unbegrenzt.

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.

Reading the case before writing the email.

Your next 100 customers are already complaining about something.

Kostenlose Testversion. Keine Karte. Erste Untersuchung in fünf Minuten.

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