F5Bot vs Syften vs Lidar: keyword alerts are not lead generation
Keyword alerts fire on the word. Buyers announce themselves with intent. Here is why that gap matters, with a five-rung intent ladder you can steal.
Two people post in r/webdev on the same afternoon. The first writes “I hate Notion, it is so slow now”. The second writes “our team has outgrown shared docs, everything is in six places and nobody can find the spec from last month, what are people using?”
A keyword monitor watching the word Notion sends you the first one. A keyword monitor watching the word Notion misses the second one entirely. The second one is the customer.
That gap is the whole argument of this post. Everything below is an attempt to make it concrete enough to act on.
What each tool actually does
F5Bot
F5Bot is free and has been quietly reliable for years. You give it keywords. It watches Reddit, Hacker News and Lobsters, and emails you when one of them appears. There is no filtering layer, no ranking and no context. It is a grep over the firehose, delivered to your inbox.
That is not a criticism. Being a good grep is a legitimate and useful thing to be, and it is free, which makes the value equation hard to argue with. The mistake is asking it to be a lead generation tool.
Syften
Syften is what you build when you take F5Bot seriously as a product. Broader source coverage, boolean logic, negative keywords, per-source rules, Slack delivery. If you write a filter like ("looking for" OR "any recommendations") AND (invoicing OR billing) NOT (job OR hiring) it will do exactly what you asked.
Which is the catch. It does exactly what you asked, and knowing what to ask for is the hard part. Every good Syften setup we have seen belongs to somebody who has iterated on their filters for months and enjoys doing it.
Lidar
Ours. You paste your website instead of writing keywords. We read the page, infer what the product does and who it is for, and you edit that summary until it is right. Then every day we read the newest posts in the subreddits attached to the project and ask a language model a different question from the one a keyword tool asks. Not “does this post contain a word from a list” but “is the person who wrote this describing a problem that this product solves, and do they sound like they want it solved”.
Each match arrives with the reason it matched and a link to the thread. We never post anything, and you decide who deserves a reply.
The intent ladder
Here is the model we score against, simplified. Every post that mentions your problem space sits on one of five rungs, and only the top three are worth your attention.
Buying now
“Need to replace our invoicing setup this month, budget approved, what should I look at?”
Timeline, authority and an explicit request. Reply within the hour.
Actively looking
“What is everyone using for recurring invoices for a small agency?”
A solution request with no timeline. The single highest-volume rung worth answering.
Problem aware
“Chasing late payments is eating half a day a week and I am losing my mind.”
They have the pain and have not framed it as a purchase yet. Answer the pain, not the product.
Venting
“God I hate invoicing software. All of it. Every one.”
Emotionally engaged, commercially inert. Selling here reads as ambulance chasing.
Incidental
“We were on that invoicing tool at my last job, anyway, back to the point about hiring.”
The word appeared. Nothing else did. This is most of what a keyword alert sends you.
Notice that rungs one and five can contain identical vocabulary. Notice also that rung four, the highest-value rung after the top, frequently contains none of your keywords at all: no product name, no category name, just a description of a bad afternoon. A string matcher is structurally incapable of separating these. That is not a tuning problem, it is a category problem.
Where each tool lands
| F5Bot | Syften | Lidar | |
|---|---|---|---|
| What you configure | Keywords | Boolean filters | Your website |
| Sources | Reddit, HN, Lobsters | Reddit, HN, forums, chat | Reddit only |
| Catches rung 4 with no keyword | No | Only if you predicted the phrasing | Yes, that is the design goal |
| Ranks results | No | No | Scored, with a reason |
| Ongoing effort | None | Continuous tuning | Edit subreddits occasionally |
| Best job | Brand mentions | Precise, known phrasings | Strangers with your problem |
| Cost | Free | Paid | Paid, per product |
A test you can run this week for nothing
Do not take our word for any of this. The experiment takes twenty minutes and settles the argument with your own data.
- Set up F5Bot with your five most obvious keywords. It is free and takes four minutes.
- Pick the one subreddit where your buyers live. Open it sorted by new, once a day, for five days.
- Keep two lists. Everything F5Bot sent you, and everything you found by reading that would be worth a reply.
- Compare the overlap at the end of the week.
In our experience the two lists barely intersect. If yours do overlap heavily, your keywords are unusually well chosen and a free tool is genuinely all you need. That is a good outcome and you should take it.
So which should you use?
Use F5Bot if the question is “is anyone talking about us”. It is free, it is good at that, and paying for the same job is silly. Set it up regardless of what else you do.
Use Syften if you can already write down the exact sentences your buyers type, you need Hacker News and Discord in the same feed, and you will genuinely revisit the filters every month. In the hands of someone who enjoys the tuning it is the sharpest instrument in this category.
Use Lidar if you want to skip the keyword-authoring step entirely and get a scored shortlist with reasons, and you are happy that we only read Reddit.
The honest summary: these are not really competitors. They answer different questions. The mistake is buying one and expecting it to answer the other, which is how people end up with a monitoring tool they stopped opening in week three.
If you want the longer version of the intent argument, with the phrasings that actually predict a reply, we broke down what buying intent sounds like on Reddit. If you want the whole channel from scratch, start with the Reddit lead generation guide.