r/SaaS·2w
“We're running Zendesk and Intercom and looking to consolidate. The driver is AI deflection.”
Support
97In-market
In-market buyer intelligence
noise.
In-market buyers, pulled from real Reddit threads this month. Start with a scan of your category, or a cut scoped to your exact product. Every lead is a verbatim quote, a live link, an intent score, and a thread you can reply to today.
Your category·Sourced this month·Verbatim + attested·Contactable
01
Methodology
A small pipeline run by one researcher, for every cut.
For each cut, an indexed corpus of recent threads is pulled across the subreddits where the buyers in your category discuss buying, building, and abandoning their tools. Threads are de-duplicated, run through a six-axis intent classifier, and read by a human before any quote leaves the pipeline.
The classifier scores six axes (urgency, budget signal, vendor specificity, recency, role fit, and tool-stack disclosure) on a 0–100 scale. A thread enters the report only above 65. Every quote links to its source; nothing is paraphrased.
Step 01
Ingest
Your subreddits · recent threads · scored fresh per cut
Step 02
Score
Six-axis intent model · urgency, budget, recency, fit
Step 03
Read
Human researcher reviews · attests every quote
Step 04
Publish
12 pp PDF · cited URLs · CSV of qualified threads
Corpus, latest sample
20 buyers · 6 markets · 12 subreddits · last three weeks of May 2026.
Score threshold
Threads enter only at intent ≥ 65. Median accepted: 78. Rejection rate: 71%.
Human in the loop
Every published quote is read end-to-end. Nothing paraphrased; nothing fabricated. URL-attested.
The feed, in motion
This is what a buyer looks like before they search for you.
Every line is a real Reddit thread from the last few weeks. The classifier scores intent on six axes as each scrolls past, and flags the few who are shopping right now. You get those few, in their own words, with the link.
Live r/SaaS feed·Six-axis score·In-market at 85+
reddit.com/r/SaaS/new
Scanningr/CustomerSuccess·today
“the apollo data quality has been rough latley, we're seeing like 15-20% bounce rates.”
Prospecting
93In-market
r/smallbusiness·4w
“five freaking tools, $350/mo for two people. I need one system that does all of it.”
CRM
92In-market
r/smallbusiness·1d
“I'm looking for a scalable CRM that doesn't cost a fortune.”
CRM
87In-market
r/SaaS·1w
“billing is this messy combination of Stripe, spreadsheets, and a lot of prayer.”
Billing
87In-market
r/nocode·1w
“retool was my first thought, but the pricing gives me pause for 25 people.”
Internal tools
86In-market
r/analytics·1w
“6 hours of copy paste and we still get typos that break dashboards.”
Data/BI
84Watch
r/recruiting·3w
“using Encore/Cluen, asked to see what else is faster, more modern, integrates AI.”
ATS
80Watch
r/SaaS·2w
“We're running Zendesk and Intercom and looking to consolidate. The driver is AI deflection.”
Support
97In-market
r/CustomerSuccess·today
“the apollo data quality has been rough latley, we're seeing like 15-20% bounce rates.”
Prospecting
93In-market
r/smallbusiness·4w
“five freaking tools, $350/mo for two people. I need one system that does all of it.”
CRM
92In-market
r/smallbusiness·1d
“I'm looking for a scalable CRM that doesn't cost a fortune.”
CRM
87In-market
r/SaaS·1w
“billing is this messy combination of Stripe, spreadsheets, and a lot of prayer.”
Billing
87In-market
r/nocode·1w
“retool was my first thought, but the pricing gives me pause for 25 people.”
Internal tools
86In-market
r/analytics·1w
“6 hours of copy paste and we still get typos that break dashboards.”
Data/BI
84Watch
r/recruiting·3w
“using Encore/Cluen, asked to see what else is faster, more modern, integrates AI.”
ATS
80Watch
Sourced this month3 in-market, this view
02
What's inside
Twelve pages, eight sections, one CSV.
- 01Editorialpp. 1–1Executive summary
A one-page brief: the top three buyer patterns this week, with the strongest verbatim from each.
- 02Datapp. 2–4In-market buyer index
A ranked table of 24–40 qualified threads with intent score, role, sector, and a direct source URL.
- 03Editorialpp. 5–6Pain taxonomy
Grouped pains (list rot, first-touch fatigue) with weighted frequency and three verbatims each.
- 04Datapp. 7–8Vendor mentions, scored
Which tools buyers are abandoning, comparing, or shortlisting, with sentiment per mention.
- 05Editorialpp. 9–10Three letters to write today
Outbound drafts grounded in actual quotes from the report. Use as-is or as a template.
- 06Referencepp. 11–12Methodology & sources
Sampling method, intent-score rubric, rejection criteria, and every URL cited in the issue.
- 07DatafileCompanion CSV
Your working file: every qualified thread, its intent score, and the source link. For your own research, not a resale list.
04
Sample report
See the buyers before you order.
A full issue, free and ungated: 20 in-market buyers across six markets, every quote confirmed against its live Reddit link. No email required.
Winnow SampleP. 01
Six markets, one month.
What Winnow surfaced across six product categories, May 2026.
Customer support. A B2B SaaS running Zendesk and Intercom, around 1,900 tickets a month, shopping to consolidate on AI deflection. Intent 97.
Sales tooling. A founder paying $350 a month across five tools that will not sync, who wants one system that does all of it. Intent 92.
Billing. A SaaS founder whose billing is Stripe, spreadsheets, and a lot of prayer, who knows it needs fixing. Intent 87.
WINNOWP. 01 / 06
FIG. 3 Tap a page to preview. The full issue is free above, no email.
“The honest version of buyer intent is not a heat-map. It’s a paragraph someone wrote at 2 a.m. because their pipeline was broken and they couldn’t sleep.”From the editor’s note
03
Versus
Three ways to find your next ten customers.
| Hire a researcher | DIY with ChatGPT | Winnow | |
|---|---|---|---|
| Cost per report | $4,800 – $9,000freelance, 60–80 hrs | $20 + 18 hrs of your timetokens + opportunity cost | $497 – $2,997flat, one-time |
| Time to delivery | 2 – 3 weeksscoping + research + edit | 1 – 2 weekendsif you finish at all | 72 hoursfrom order to PDF |
| Verbatim quotes, attested | Sometimesdepends on the researcher | Rarelymodel hallucinates citations | Always100% URL-attested |
| Companion CSV | Negotiableextra deliverable | Build it yourselfprompt engineering | Includedqualified threads, scored |
| Editorial point of view | Variableresearcher-dependent | Nonemodel produces summary | One researcher, every issueconsistent voice |
06
Order a cut
Three ways in. One researcher.
Tier 01 · Category scan
$497/ one scan
A read of who is shopping in your category this month. The way to see the work before you commit.
- →30 to 40 in-market buyers, scored~35
- →Scoped to your categorycategory
- →Every quote attested to a live link100%
- →Companion CSV + delivery in 72 hours72h
Most ordered
Tier 02 · Cut + call
$997/ one cut
Scoped to your specific product. We define your buyer on a call, then read the results together.
- →Buyers in-market for your productbespoke
- →We scope your ICP before the run
- →Deeper buyer index~60
- →One 30-minute strategy call30 min
Tier 03 · Standing order
$2,997every 3 months
A per-product cut every month, scoped to you. Billed once every 3 months. Cancel before any cut.
- →Three bespoke cuts a quarter, one a month3 / qtr
- →Quarterly trend brief+brief
- →Direct line to the researcherSlack
- →Cancel before any cut, no lock-infree
After you order
The Category scan ships straight away. Cut + call and Standing order open with a 20-minute scope of your exact buyer, then the run begins.
What you get
A PDF brief and a companion CSV, every quote attested to a live Reddit link. Delivered within 72 hours of the scope.
How you reach a buyer
Reply with something useful in the public thread. If they engage, follow up by DM with their consent. We never scrape inboxes or enrich handles, and the file is for your outreach, not resale.
05
From the editor
Why one reader beats ten dashboards.
The editor
Ayomide Olabisi
Ayomide Emmanuel Olabisi
Editor & sole researcher
Winnow · Est. 2026
Fair question: if Winnow is one person, how is it faster, and more accurate, than the listening tool you’re already paying for? Here’s the honest answer.
No telephone game
A GummySearch or a scraper hands you keyword hits. I hand you the three buyers worth emailing this week, read end to end, in their own words. The difference between “mentions of CRM” and “this founder is shopping right now” is a human, and that human is me.
Faster, because there’s no machine
No sales call, no scoping deck, no team handoff, no roadmap ticket. You order; I read; you get a PDF in 72 hours. A subscription tool makes you do the reading. I am the reading.
Accurate, because someone clicked through
Every quote links to its live thread. Zero AI-hallucinated citations, zero stale rows from a list that rotted last Tuesday. If it’s in the report, I opened the thread and read the whole thing. A $1k/mo dashboard can’t promise that. It doesn’t even try.
I built Winnow because I ran outbound for a small dev-tools company and lost, drowning in tools that counted everything and understood nothing. The people actually describing their pain, in their own words and their own typos, were on Reddit the whole time. Nobody was reading them seriously. Now someone is.
You’re not buying a dashboard. You’re hiring the one reader who already did the work.
Ayomide Olabisi
Editor & sole researcher · Winnow
Sources & notes
- Quotes in the live table and sample pages are real, pulled from public Reddit posts and confirmed against their live URLs on the date shown. No usernames are published on this page.
- The latest sample reflects threads from the last three weeks of May 2026; intent decays, so every cut is sourced fresh.
- Intent rubric and rejection criteria documented in the methodology section of every cut. Methodology last revised April 2026.
- Pricing accurate as of May 2026.
Citation policy
Every quote in a published issue links to its source comment or post URL. Names appear only when the operator’s account is publicly tied to their company.