Building software keeps getting cheaper and faster. Getting it in front of the people who need it has not. For many small teams, the hard part is no longer shipping the product but finding the first people who will use it, and then finding more of them in a way that can be repeated.
This guide sets out the working philosophy behind Distrarc. It is an opinion, not a study, and you should take what is useful and leave the rest.
1. Start from demand that already exists
Every day people describe problems in public: they ask for a tool, compare options, or complain about what they use now. When your product solves that problem, a helpful answer reaches someone at the exact moment they are looking. That is a better starting point than guessing who might be interested and interrupting them.
The catch is that these conversations are scattered across many communities and buried in noise. Finding them by hand is slow and easy to abandon. That repetitive search is the part software should do.
2. Evidence before action
A system that finds "opportunities" can easily pad its results. We think every suggestion should carry its evidence: a link to the original post, the date, and a plain reason why it fits your product. When there is no strong match, the honest answer is to say so. That is how the Distrarc report is built: if no strong match is verified, the report tells you instead of filling the list.
3. A person decides what is said in public
Public replies carry your name and your product's reputation, and communities notice automated posting quickly. So the final word stays with you. Distrarc can draft a reply that answers the question first and discloses that you built the product, but you review it, change it, and post it yourself. Anything public, external or paid requires your explicit approval.
4. Learn from what converts, not from what is busy
Activity is easy to measure and easy to mistake for progress. Replies, visits and sign-ups only matter if people go on to use the product. If new users are arriving but not activating, more acquisition will not help, and the right move is to fix the product first. We explain this in closing the loop.
5. Small, explicit experiments
Distribution work goes better as a series of small experiments with a goal, a time window and a stop condition, rather than as a vague intention to "do more marketing". A goal such as "talk to ten people who have this problem in the next two weeks" is concrete enough to judge.
What this means in practice
- Let software do the searching, filtering and first drafts.
- Keep a person responsible for judgement and for anything said in public.
- Require evidence for every suggestion, and accept "nothing strong found" as a valid answer.
- Decide what to try next from activation data, not from activity counts.
Related reading: leverage in software distribution and replying in public without spamming. To see the approach on your own product, get a free first report, or see pricing.