On 1 December 2025, GummySearch sent its users an email that ended with the sentence: "After careful consideration, I have decided to shut down GummySearch."
By the following morning, threads had appeared on r/SaaS, r/Entrepreneur, and r/IndieHackers. Hundreds of replies. People sharing their frustration, their workflows that had depended on the tool, their now-urgent need for an alternative. Some were angry. Most were just trying to figure out what to do next.
GummySearch had occupied a specific and genuinely useful niche. It allowed B2B founders, product managers, and marketers to monitor Reddit communities for keyword mentions — brand names, competitor names, topic areas, pain-point phrases — and surface relevant conversations with sentiment signals and engagement metrics. For indie founders validating product ideas, it had been the tool for understanding what potential customers were actually saying in the communities where they congregated.
The shutdown left a gap that the remaining alternatives did not cleanly fill. Awario and Brand24 monitored Reddit as part of general social listening suites starting at £49 to £249 per month, marketed primarily at marketing teams at established companies rather than solo founders. F5Bot was free and simple — keyword email alerts for Reddit — but had no sentiment analysis, no engagement scoring, no API. Syften charged £29 per month for similar functionality but with limited depth and no Make/n8n integration.
I had been using Reddit monitoring informally for a year by that point, primarily through manual searches and a set of bookmarked subreddits I checked irregularly. The gap between what I was doing and what I needed was obvious. What I needed was an automated pipeline: keywords — relevant Reddit posts — sentiment classified — pushed to Slack or Airtable or Google Sheets — ready for review and response.
The Reddit Keyword Monitor was built in response to the GummySearch shutdown, with a deliberate design to be more pipeline-native than any of the existing alternatives.
Reddit's public JSON API is the foundation. Every public subreddit exposes a search endpoint at reddit.com/r/{subreddit}/search.json that returns posts matching a keyword query, filterable by recency. No OAuth required for read access to public content. This is not a workaround — it is a documented, publicly available interface that Reddit has maintained for years.
You configure watchlists — groups of keywords and the subreddits to monitor them in. Each watchlist is named (so you can run "Brand mentions", "Competitor complaints", and "Market research" as separate monitoring streams in a single run), and can include a list of relevant subreddits or leave the search open to all of Reddit.
For each matching post, the actor applies keyword-based sentiment classification — a fast, API-free approach that achieves reasonable accuracy for the binary distinction between positive and negative signal that matters most for brand monitoring. It also profiles the author's account age and karma as a basic spam/bot filter, and calculates an engagement velocity score based on upvotes and comment count relative to post age.
Posts and comments from a previous run are stored by ID, so subsequent runs only emit new matches — the equivalent of GummySearch's "since last visit" filtering, which was one of the most-cited features in the shutdown discussion threads.
The actor charges £0.001 per post scanned, £0.01 per new matching alert delivered, and an additional £0.005 for alerts classified as negative sentiment — because a negative mention of your brand or a competitor's brand is categorically more actionable than a neutral one and should be priced to reflect that value.
For a B2B SaaS founder monitoring three competitors and their own brand across five subreddits on a daily schedule, the typical monthly cost is between £4 and £10 depending on community activity.
The actors that fill spaces left by shut-down tools carry a particular obligation to do the job properly. GummySearch's users were not looking for a slightly worse replacement at a slightly lower price. They were looking for something that understood what they had lost and built it back with the missing pieces included.
The missing pieces I tried to add were: native API access for pipeline integration, n8n and Make.com workflow templates published alongside the actor, sentiment classification in the base product rather than as a paid add-on, and an honest acknowledgment in the documentation that Reddit's API terms and rate limits mean this is a tool for thoughtful, low-volume monitoring rather than industrial-scale data harvesting.
The GummySearch shutdown created a real gap. This is my attempt to fill it.