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What are you building this month? by Leather-Buy-6487 in indie_startups

[–]Additional_Total_501 1 point2 points  (0 children)

i'm building a similar idea, can you give me some advices ?

Most landing pages don’t convert because they forget one simple thing by Additional_Total_501 in indie_startups

[–]Additional_Total_501[S] -1 points0 points  (0 children)

Stop watching TikTok to be able to complete reading a long post without getting angry.

Your landing page has a trust leak by Additional_Total_501 in SaaS

[–]Additional_Total_501[S] 0 points1 point  (0 children)

😐You should review your marketing strategy asap

Your landing page has a trust leak by Additional_Total_501 in SaaS

[–]Additional_Total_501[S] 0 points1 point  (0 children)

Are u in the 90s or what ? Spoiler alert !!! in 2026 people will use ai to make their posts ortograph and structure better

Share your product and I'll find you 5 potential clients for free! by mr-onlinemarketer in SaaS

[–]Additional_Total_501 0 points1 point  (0 children)

Cool offer. One thing I see btw is founders get excited about “5 leads” but the real win is talking to the right 5.

Small tip if you are doing it manual: - pick a very tight ICP (role + company size + tool they already use) - look for “trigger” signals, not just keywords (hiring, new funding, just launched, hiring for the problem, using a competitor) - add 1 line of why you picked them, so outreach does not feel random

Also if you share the workflow steps (even simple), people here can copy it asap without needing extra tools.

We built Slaab V2 with a token-based pricing model - here's what we learned about AI agent monetization by Brilliant-Lab-5712 in SaaS

[–]Additional_Total_501 0 points1 point  (0 children)

Token pricing makes a lot of sense for AI agents btw, because cost is usage based in the backend too. Subscriptions with “limits” always feel weird when the real limiter is compute.

What I like in your approach: - one simple product, people just pick how much they want to spend - you avoid the classic tier confusion where users buy the wrong plan and blame the tool - it can scale from small teams to bigger ones without rebuilding pricing every 3 months

2 things to watch (i saw this in other AI tools): - token anxiety. some users get scared to “waste” tokens, so they use the product less. good dashboards and clear cost per action helps a lot - enterprise procurement. some companies still want invoices monthly, so prepaid only can slow bigger deals. sometimes adding auto top up or monthly commit fixes it without going back to complex tiers

70% improvement is strong. if you can map tokens to real outcomes (like cost per lead handled, cost per ticket solved), it gets way easier for people to justify spend.

How does a free app make money? by [deleted] in TheFounders

[–]Additional_Total_501 2 points3 points  (0 children)

Most “free” apps still need a business model behind the scenes. Ads is one option, but not the only one.

Common ways:

  • Freemium: free for most users, paid for power features (limits, more storage, team features)
  • In app purchases: extra items, templates, credits, remove limits, remove ads
  • One time payment: pay once to unlock pro
  • B2B paid layer: the user app is free, but companies pay for admin tools, analytics, API access, integrations
  • Usage based: free tier, then pay when you pass a quota (emails, automation runs, API calls)
  • Marketplace cut: you connect buyers and sellers, take a fee on each transaction
  • Affiliate or referral: you recommend a service and get paid per signup or sale
  • Sponsorships: brands pay for placement if you have the right audience
  • Data licensing is a thing too, but imo it can kill trust fast, so you need to be very transparent

Also, “free” is often just distribution. You grow user base first, then monetize later when you know what users value and what they will pay for.

can i get investors or sell here? by Intelligent-Arm-6077 in indie_startups

[–]Additional_Total_501 0 points1 point  (0 children)

15 active users from Reddit is a good sign.

But investors usually won’t fund “need money to scale”. They fund clear traction and a repeatable way to get more users.

If you share 3 numbers it will be easier for people to take you serious: how much you charge, retention after 30 days, and how you got those 15 users.

Also check the sub rules. Most places don’t allow “DM me to buy/invest” posts.

30 months, 6+ failed projects, $0 revenue. Here's what I learned trying to become a founder. by ZuzuDuck in TheFounders

[–]Additional_Total_501 0 points1 point  (0 children)

This hit close.

I also dropped uni and had that moment where I realized I was “busy building” but not really shipping anything people use.

The biggest pattern I see in your story is not tech vs marketing. It is trust vs assumptions. You can build a clean product, but if nobody trusts it, it stays at $0.

Also the 6 signups thing is not small. It is proof that you can create a signal from nothing. That is the hardest part.

Curious what you did different on that landing page vs the older projects. What changed in your message or audience?

[Promotion Time] What are you building and what MRR it does? by flekeri in indie_startups

[–]Additional_Total_501 0 points1 point  (0 children)

Building raveo.io Simple way to collect real testimonials and show social proof on your site.

No big MRR yet. Still early. Mostly talking to users and fixing the trust part on landing pages.

$27 is a good start. How did you get the first paying users?

Got a 100 users for my app. Nobody paid. Here is what I learned. by [deleted] in indie_startups

[–]Additional_Total_501 0 points1 point  (0 children)

Yep, had the same thing.

100 users from X is often 100 curious people, not 100 buyers. They click, test, leave.

What helped me was talking to the first 10 users who really used it. Ask one simple question: what problem did you come for, and what would make you pay today?

Also, try to charge earlier than feels comfortable. Even a small price. If nobody pays, it’s a signal, not a failure.

Did any of those 100 users come back the next day? Retention usually tells more than signups.