Disclosure first: I make Loudship. What follows about KWatch comes from kwatch.io, its pricing table and its FAQ, as they read on October 31, 2026.
What KWatch does well
KWatch is social listening priced for one person. You pick keywords platform by platform, and it sends "a real time alert when a keyword is found". Its FAQ puts the refresh rate at "per second", with an alert expected "within a couple of seconds and up to 1 minute in case of temporary congestion". It covers Reddit and Hacker News, X and YouTube, and posts on LinkedIn and Facebook, though not their comments. Email alerts come with every plan; Slack, webhooks and an API come higher up.
The free plan is usable: two Reddit keywords and two Hacker News keywords at no cost. The first paid plan, Essential, is $19 a month. KWatch pitches itself for "sales signals, brand mentions, competitor moves, and more", and its AI layer is built around sentiment: it will "automatically analyze the sentiment towards your keywords", and "analyzes the context around the keywords".
Sentiment and buying intent are separate questions
Sentiment tells you how someone feels about a word. A founder looking for customers needs another answer: is this person asking for something my product does? The two rarely line up. Take three posts that all contain "password manager":
- "Setting up a password manager for my parents was a nightmare." Negative, and nobody is buying.
- "Been on the same password manager for six years, zero complaints." Positive, and nobody is buying.
- "Looking for a password manager our five-person team can share. SSO would be nice." Neutral in tone, and the only buyer of the three.
A sentiment label puts the third post in the middle of the pile, since it carries no emotion at all. For brand monitoring that reading is right: a burst of negative posts about your product is worth knowing about within seconds. For finding customers, the signal is the request, and a request is often written with no feeling in it.
The two cross in one case. "My password manager just doubled its price, looking at options" is negative and a buying moment at once: someone paying for a tool and ready to leave it. A sentiment filter flags it with every other unhappy post. Loudship keeps it: a frustration with the tool someone pays for today is one of the three buying moments it looks for, alongside an explicit request and someone shopping for a replacement.
Each post that passes reaches the morning email with what the author asks for, tested against what your product memory says. For the team post above: shared vault for five people, yes; SSO, unknown if your memory is silent on it. The draft states what is confirmed and leaves the rest for you to check.
| Criterion | KWatch | Loudship |
|---|---|---|
| Platforms | Reddit, Hacker News, X, YouTube, and posts (not comments) on LinkedIn and Facebook | Reddit posts, Hacker News and Bluesky |
| Speed | Real time: refreshed every second, alerts within seconds, up to a minute under load | Once a morning |
| How a post is picked | Your keywords, counted per platform | Suggested from your site (topics, competitors), then each post rated for buying intent |
| What the AI does | Sentiment and context around the keyword (Essential and up) | Intent, then the author's request checked against your product |
| What arrives | The post containing your keyword, with its sentiment | Up to five posts a day, each with a fit card and a draft reply |
| Channels | Email; Slack, webhooks, API and MCP from Business | A morning email; posts and drafts in the web app |
| Entry plan | $19 a month: 20 keywords each on Reddit and Hacker News, 2 on X and YouTube, 1 on Facebook and LinkedIn | $29 a month for one product |
| Free option | Free plan: 2 Reddit and 2 Hacker News keywords, no filtering or AI | First digest free, then a paid plan |
What $19 a month buys on KWatch
KWatch counts keywords per platform. Essential, at $19 a month, gives 20 keyword alerts on Reddit and 20 on Hacker News, two each on X and YouTube, and one each on Facebook and LinkedIn, with filtering, saved results and the AI analysis. Alerts arrive by email. Slack, webhooks, the API and MCP start with Business, $79 a month, which also lifts the counts to 100 on Reddit and Hacker News and adds team management. Enterprise is $199 a month for 500. Plans are prorated if you stop. The free plan keeps two keywords each on Reddit and Hacker News, without filtering or AI analysis.
Twenty Reddit keywords is generous for a single product. The limit you meet first is your own time: every alert is a post to open and judge, and a broad keyword can match dozens of posts on a busy day. Solo covers one product for $29 a month and sends at most five posts a day, each one already judged and drafted from your product memory. Pro, at $79 a month, covers up to five products, with fifteen posts a day each and three teammates.
Keywords that find buyers, if you choose KWatch
KWatch can find buyers if the keywords are written for it. A category word on its own ("password manager", "CRM", "invoicing") mostly matches people using the word. The wording of a request matches far fewer posts, and far more buyers:
- A competitor with a leaving word: "[competitor] alternative", "switching from [competitor]", "[competitor] too expensive". Someone leaving a tool is the closest to buying.
- The request itself: "recommend a [category]", "looking for a [category]", "any [category] that".
- The problem as a user types it: "can't share passwords with my team" will find more buyers than the name of the feature on your pricing page.
- Your own name, on the free plan, for support and reputation, where seconds do matter.
That is roughly how Loudship sets itself up: it proposes topics and competitors from your website and turns each competitor into an "alternative" search. Where the two part ways is after the match.
What Loudship learns from your mornings
A keyword list stays as good as the day you wrote it. Loudship's radar shifts with what you do in it. When you post a reply, you paste what you actually wrote, edited or not, and it becomes an example of your voice and length for the next drafts. When you skip a post, you give a reason: not actually relevant, product does not fit the ask, thread too old, community forbids self-promotion, already well answered. The scoring learns to hold back posts of that kind.
The reply is also where most of the risk sits. A reply that leads with the product, or repeats the same wording in several threads, costs more than a missed alert. The guide on what gets automated replies banned covers what moderators and filters react to. And after you post on Hacker News or Bluesky, Loudship follows your reply for two weeks and brings the answers back in your digest, so a follow-up question does not sit unanswered.
When KWatch is the better pick
- Your customers talk on LinkedIn, X, Facebook or YouTube. KWatch reads them. Loudship reads Reddit, Hacker News and Bluesky only.
- You need seconds. A complaint, an outage, a mention by a large account: a per-second refresh is built for that, and a morning email is not.
- You track how people feel about your brand. Sentiment over time is a reputation tool, and KWatch includes it from $19.
- Your budget is zero. Two Reddit and two Hacker News keywords for free is a fair start, especially on your own product name.
If what you need is the handful of people a day who need what you made, with the reply half written, that is the job Loudship does. The other comparisons cover the tools founders weigh next to both.