Signals · brand monitoring

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Brand Signals Report

Northwind Coffee Co.

Scan completed 38 sec ago · 142 mentions analysed across 5 source types

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Overall sentiment

Positive

Score +42

Positive

78

across all sources

Neutral

52

evaluating tone

Negative

12

needs attention

Executive summary

Northwind is being talked about across 142 sources in the last 7 days. Overall sentiment is positive. The strongest signal is around single-origin roast quality and subscription onboarding. The weakest signal is around a Safari 17 cart bug that has been reported twice on Hacker News with no public reply.

Mentions

Reddit · r/coffee·u/portafilter_pete·12m

Northwind beans, finally worth the hype?

Bought a bag last week. Better extraction than the usual third wave roasters at this price.

Hacker News·anon_hn·41m

Northwind site cart breaks on Safari 17

Cart silently empties on iOS. Reported via support twice, no reply in 3 days.

G2 · review·Verified buyer·2h

Switched from Bluebird, no regrets

Subscription onboarding was the cleanest I've used. Roast notes actually match the cup.

X·@latteforensics·4h

Anyone else getting stale bags from Northwind lately?

Third bag in a row past the roast-date window. Used to be my default.

The scattered mention problem

Your brand is being talked about in a dozen places you do not check.

Reddit has 22 active conversations about your category every week. Hacker News has one a month, and it is usually the one that matters. G2 collected 4 new reviews while you were in standup. Most teams find out about a viral negative thread three days late, after a customer screenshots it to support.

The work used to mean either a $40k enterprise tool or a junior marketer with twelve tabs open. Signals replaces both.

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Reddit · r/saas

06:14

Anyone else hitting this onboarding wall?

G2 · review

08:02

Onboarding friction, 2 stars

Hacker News

09:47

Casual mention in unrelated thread

Trustpilot · review

11:15

Five stars, no detail

Forum · indie hackers

14:33

Technical complaint, niche thread

Replies: 11

TechCrunch · press

17:20

Neutral roundup, paid-channel space

What Signals does

One feed. Every mention. Ranked by what matters.

Signals polls the open web every few minutes, runs every new mention through Claude for sentiment and urgency, and surfaces the ones worth your attention. The rest goes into a digest you can skim before the second coffee.

Sources

Eight feed types, one schema

Reddit, HN, news, forums, G2, Capterra, Product Hunt, Trustpilot, app stores. Each source normalized into the same mention record so the feed reads cleanly.

Scoring

Sentiment Claude actually gets

Every mention gets a positive, neutral, or negative score with confidence, plus an urgency band. Sarcasm and jargon land correctly because the model reads context, not keywords.

Actions

Recommended moves, not just data

When a thread starts trending, Signals suggests a draft reply, a support ticket, or a Slack ping. You stay the operator; the model just spots the fuse early.

Who uses Signals

Three operators, three different reasons to open it first

The founder.

Knows the second a Hacker News thread starts climbing. Decides in 90 seconds whether to reply in-thread, write a longer post, or sit it out. No more learning about a launch backlash via DM the next day.

Founder reading mentions on a phone

The growth lead.

Tracks share of voice against three competitors weekly. Watches which features people actually rave about and feeds that copy straight into the next ad creative. Signals does the listening, Creative Studio writes the ad.

Growth lead reviewing a feed

The support lead.

Catches the public complaint before it becomes a ticket queue. High-urgency negative mentions route to a Slack channel. The team replies in-thread within the hour, which usually changes the trajectory of the thread.

Support lead at a workstation
Why operators trust the feed

Fresh data, clean signal, no false-positive noise

Most monitoring tools fail the same way: every mention of the word "spring" gets attributed to your brand "Spring Coffee," and your feed becomes useless within a week. Signals does entity-resolution per mention so a stray homonym does not buy you a 200-item daily digest.

Freshness

5 min

Median time between a Reddit post going live and showing in your feed, scored.

Sources

120+

Public sources in the polling rotation, expanding every quarter.

Precision

97%

Mentions correctly attributed to your brand after entity-resolution.

Languages

24

Source languages scored natively, summarized in English.

Signals FAQ

Questions teams ask before turning Signals on

What sources does Signals scan?

Reddit (all public subs), Hacker News, mainstream news outlets via licensed feeds, industry forums, and review platforms including G2, Capterra, Product Hunt, Trustpilot, and the Apple and Google app stores.

How fresh is the data?

Most public sources are polled every 5 to 15 minutes. Review sites lag a little (hourly), and news feeds are real-time.

Can I track competitors?

Yes. Add up to 10 watch terms per workspace on the Growth plan, unlimited on Scale. Competitor mentions are colour coded and kept in their own feed.

Do you scan private channels?

No. Signals only reads publicly accessible web content. We do not scrape private Slack servers, gated communities, or anything behind login walls.

How is sentiment scored?

Claude reads each mention in full context (thread title, parent comment, surrounding 200 words) and returns positive, neutral, or negative with a confidence score. No bag-of-words.

Can I get alerted on new mentions?

Yes. Email, Slack, and webhook alerts ship in the box. Route by sentiment, urgency, or source.

What about non-English mentions?

Signals reads 24 languages today, with English-language summaries for every non-English mention. Sentiment runs in the source language.

What does it cost?

Signals is included on every overads plan from Growth upward. A free 30-day scan of your domain is available to anyone, no credit card.

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