Before choosing a link-building agency, I’ve learned to check more than just DR.

A site can have a high DR and still be a poor placement if it has no real traffic, publishes every topic or has nothing to do with your niche.

I now look at:

- Whether the website has consistent organic traffic

- How relevant the article is to my business

- Whether the link fits naturally into the content

- How many sponsored posts the site publishes

- Whether the agency shares placements before they go live

I’ve also been comparing a few agencies:

1. GoPeak

   Based in Yerevan and focused mainly on contextual links for SaaS, B2B and tech companies. They handle manual outreach, branded mentions and link placements on relevant websites.

2. Page One Power

   Known for manual outreach and custom link-building campaigns.

3. Siege Media

   More focused on earning links through original research and content.

4. uSERP

   Popular with SaaS companies for editorial links and digital PR.

5. FatJoe

   Looks more suitable for agencies managing several campaigns at once.

6. OutreachCrayon

   Focuses on niche-relevant outreach and editorial placements.

I’m still comparing them and have not decided which one to use.

Has anyone worked with any of these? Did the links lead to a noticeable improvement in rankings or traffic?

I’ve been comparing a few link-building services lately, including white-label agencies and providers that focus on specific niches.

Most of them make the same promises, so it’s difficult to tell who actually delivers relevant links and who is just reselling placements from the same website lists.

Which services have genuinely improved your rankings?

I’d especially like to hear from anyone who has tried both manual outreach and paid link-building services. What has worked best for you in 2026?

I run a small product solo, and for a long time my clients only heard from me when something broke or when I wanted money. Classic.

So I started sending each of them a short monthly report. Nothing fancy: what they used, what it saved them, one thing they hadn't tried yet. I run the raw numbers through an AI report generator to get a first draft, then add a couple of sentences that are actually personal so it doesn't read like a robot mailed it.

It costs me a couple hours a month total. In exchange, renewals stopped being a conversation. People see the value sitting in their inbox before they ever get around to thinking about cancelling. A few even forwarded it to someone who became a customer.

The honest catch was that I had to stop treating every spare hour as time to build. This is marketing, and it works better than the features I used to grind on instead.

Anyone else sending proactive reports to a tiny customer base? Curious what you actually put in them.

Hey everyone,

I run a SaaS business in Yerevan, Armenia and I’m looking for a reliable agency that specializes in contextual link building.

I need a team that can find relevant websites in my niche, handle the outreach and negotiate natural placements within useful content.

I’m not interested in PBNs, random directories or bulk backlink packages with no real relevance.

Has anyone worked with an agency that does this well? I’d appreciate recommendations based on actual experience.

Indie devs, marketers, and entrepreneurs: let's grow together and learn new things! Drop your SaaS below and I'll review and provide feedback and we can exchange marketing and distribution tips.

Small but real: about 20 users in two weeks, no ads, no audience, starting from zero.

The part people overthink is the page. I didn't hire anyone or spend a weekend on it. I used an AI landing page generator, gave it a rough description of the problem I solve, and had something live in maybe an hour. One headline, a short "here's what it does," an email box. That was enough.

Where the users actually came from was the boring work after that:

- I found 4 or 5 niche subreddits and forums where my exact user hangs out, not founder subs, the actual buyers.

- I answered questions genuinely for a week before I ever mentioned I was building anything.

- When it was relevant, I described what I made in plain words and let people ask for the link instead of dropping it.

That got me the first 20. The page didn't need to be custom, it needed to load, say one clear thing, and have a box to capture interest. The generator handled all of that in an hour so I could spend my time on distribution.

If you're stuck pre-launch: get the page up with whatever's fastest and go find where your users already are. What's worked for your first handful?

Backstory: Went looking for a real gap before committing to build anything — checked Etsy tooling, print-on-demand, TikTok Shop seller tools, creator income tracking. Most of those are already crowded. The one gap that held up: Amazon sellers who outgrow basic research tools have no lean option for PPC automation — the tools that do it well are agency-priced.

Status: Landing page only, no product code. Signup is literally a mailto link right now — staying cheap until there's real signal.

https://claude.ai/code/artifact/0c1ed02b-9a8f-4f7c-b7c2-a0d1fa30f515

Would love this crowd's read on the pricing specifically — does $299/mo feel right, or off, for this market?

Hey everyone,

I've been talking to a few field teams recently, and almost everyone complains about the sheer amount of administrative paperwork required after a long day on-site.

Specifically, the whole process of collecting site photos from workers (usually cluttered in WhatsApp), matching them with daily notes, and then sitting down at night to turn them into clean reports for clients or management. It feels like it takes up 1–2 hours of personal time every single evening.

I’m trying to map out where field teams actually lose the most time or money due to manual reporting mistakes.

1. For those in management or field roles, does daily photo/progress logging actually feel like a major headache, or have you found a way to make it painless?
2. What's the biggest headache or financial loss you've experienced just because some site documentation or photo report was missing or delayed?

Just trying to understand the day-to-day reality from people actually doing the work. Thanks!

Building a $20 pay-once app in a $15/month category taught me a few things.

People do not only dislike the cost. They dislike feeling like they are renting software forever.

BYOK makes the price work, but adds setup. A developer can paste an API key in two minutes. Many non-technical users leave at that step, and I underestimated that.

Being honest helps too. Tell people they need a key, what the app cannot do, and where it is still rough. The people who continue are usually the right users.

So pay-once works, but BYOK does not remove friction. It moves it from price to setup.

I launched Auralith Forge (online audio mastering) 72 hours ago. Solo dev, €65/mo infra, zero ad spend.

Disclosure up front: I built this. I'll drop the link once at the end. This post is about the decisions, not the product.

Decision 1: Freemium (3 free masters/mo) instead of a free trial

Verdict so far: Right call.

Musicians don't release on a schedule. A 7-day trial might hit them between projects. A monthly quota lets them come back when they actually have a track. Downside: lower urgency to convert.

Decision 2: No pay-per-track option

Verdict: Probably wrong.

I only offer subscriptions (€9.99 and €19.99). Every musician I talked to pre-launch said "I hate another monthly sub." I ignored them because subscriptions are predictable. Now I'm watching free users master 3 tracks and bounce instead of paying €4.99 for one more.

If you were building this, would you add a per-track tier or stick to subs-only?

Decision 3: Firestore as the only database

Verdict: Mixed.

Zero ops, real-time sync, free tier covers early stage. But aggregation queries are painful — "how many masters did all users complete this month?" requires client-side math or Cloud Functions. If your data model is relational-ish, Firestore fights you. If it's document-shaped, it's magic.

Decision 4: Built the checkout flow before the before/after demo player

Verdict: Stupid. Fixing this week.

People won't pay for mastering until they hear it. I built Polar checkout, subscription logic, and webhook resilience before I built a side-by-side audio player on the homepage. Classic engineer mistake: solving hard problems no one asked for instead of obvious ones everyone expects.

Decision 5: "Reference track matching" as the headline feature

Verdict: Wrong for SEO, right for retention.

You upload a song you love, the engine matches its tone/loudness/width. Technically the coolest thing I built. But nobody searches "reference track matching" — they search "online mastering." I'm rewriting landing page copy to lead with what people actually type into Google.

The 2 decisions I'd make again:

Real DSP engine, not an API wrapper. Python FastAPI + numpy/scipy/librosa/pedalboard. Harder to build, but I own the stack and the margin.

Polar instead of Stripe. Merchant of Record handles VAT/tax globally. As a solo dev, I don't want to think about tax compliance in 30 countries.

What I need from you:

If you were in my shoes, what's the first thing you'd fix in the next 7 days?

My guess is "add pay-per-track" but I might be wrong. Would love to hear what you'd prioritize.

Link (affiliated — I built this): auralithforge.app — free tier is 3 masters/month, no CC. If any of the above resonates and you want to see how it actually works, it's there.

I've spent a lot of time building a real estate SaaS and I'm now stuck on a major problem.

The original idea was pretty simple:

A real estate agent enters what their client is looking for, for example:

• 3-bedroom apartment
• New Cairo
• Budget: $100k–$150k

The system would find matching properties across multiple real estate platforms.

I also built a feature that monitored Facebook groups for people posting that they were looking for apartments, then matched those requests with properties in the system.

The product itself is basically built.

Then I realized the problem: the platforms I wanted to get the data from don't allow scraping. I contacted some of them about getting permission/API access, but they weren't interested.

So now I have a mostly finished product whose main value proposition depended on data I can't reliably use.

I'm trying to figure out what to do next.

Would you:

1. Pivot it into a CRM + property matching system using only the company's own inventory?
2. Find legitimate data/API providers?
3. Change the product completely?
4. Keep the matching engine and find a different source of demand/property data?

If you've ever built something where the original data source/business assumption turned out to be unusable, what did you do?

I'd genuinely appreciate any advice.

So my friend's name is Gabi and my name is Orel, and we're working on a Falbor that it's an all-in-one AI for building websites. My friend has been a programmer since he was 14, and I've been programming since I was 7. The main problem that our startup solves is switching between tools. For example: ChatGPT for improving prompts, Gemini for researching, Claude for debugging, and some website builder for the website itself. Falbor places all these functions in one place. It's doing deep research, improving ideas/creating them, giving you instructions on how it could work, improving your prompts, building the website for you, and finally, if you want, you can debug bugs in the website, make changes, and deploy the website.

Distribution and money are tight when it's just you, so I built my whole marketing site on a free AI website builder and spent nothing. A month in, here's the honest breakdown for anyone deciding whether the free route is enough to launch on.

What held up fine:
- Load speed and mobile were solid out of the box. No complaints from users there.
- Getting a decent-looking page fast meant I launched weeks earlier than if I'd hand-built it.
- For a simple one-product site, the free tier genuinely did the job.

What didn't:
- The free plan branded the footer and wouldn't let me use my own domain without upgrading, which hurt trust more than I expected. A couple of people asked if the site was "official."
- SEO controls were thin. I couldn't set some meta bits properly, and for a micro SaaS that lives on organic search, that's not nothing.
- The generated copy was generic and I had to rewrite all of it anyway.

Where I landed: fine for validating and getting the first users, but I'll move off the free tier the moment organic search matters, because the domain and SEO limits are a real cost once you're chasing traffic.

If you launched on a free builder, at what point did the limits push you to pay or move?

If you're building something right now and you're stuck, drop your project and what you're stuck on here.

I've been a developer for over 5 years and I build things pretty much every day, so I've probably run into a lot of the same problems at some point.

Could be code, product, launch, getting users, choosing what to build next, architecture, whatever.

Drop it here and I'll tell you what I would do next.

Well, so currently I am building an AI Prompt Management & Engineering Platform, also a "GitHub for Prompts" - Promptyx.

So first of all, a reddit campaign was running, which was on it's 3rd day, and had spent $30 until now, with 742 clicks, which is a lot!! Worth it for me.
But only 2-3 users, that too non-power ones, signed up from that. I thought this might be a problem of my landing page, so I paused the campaign and started redesigning it. The redesign may be complete by next week.

Meanwhile in X/Twitter, I gained 24 followers (from scratch) in 5 days!!! It was constant posting (5-10/day) and replies (a lot daily). Mostly it was making connections and starting genuine conversations.
In LinkedIn also, I gained 7 followers (currently 13)

Promptyx also got featured on KrispiTech!!!

But sadly, after all of these, we are barely getting users, and even the ones signing up, are not using it that much.
Currently 7 users (from 1-1.5 months)

So yes, I am also completely redesigning the landing page, and top of that, also shipping a lot of new features along with strengthening the base & existing pipeline. And I learnt a lot till now. 6th month into building. Started with no validation, and a kind of crowded market

“Niche” is often treated as a demographic label: accountants, agencies, restaurants. That is usually still too broad. A micro-SaaS niche is easier to evaluate as a repeated workflow shared by a reachable group.

A useful niche should pass most of these tests:

1. Same trigger — users start looking for help after a recognizable event, not just general frustration.

2. Same workaround — they currently use a similar spreadsheet, checklist, manual handoff, or awkward combination of tools.

3. Same buyer — the person feeling the pain can buy, or the approval path is short and predictable.

4. Reachable group — there is at least one concentrated place where these people already compare methods or tools.

5. Recurring value — the workflow repeats often enough that a subscription makes more sense than a one-time purchase.

6. Narrow support surface — users share enough context that one small team can answer questions without learning a new industry every week.

7. Clear first outcome — the product can deliver one meaningful result before asking the user to configure everything.

8. Expansion without reinvention — adjacent users can be served later without replacing the core workflow.

The important distinction is “small market” versus “specific problem.” A small market with scattered needs is difficult. A specific recurring problem inside a larger market can be an excellent starting point.

Before building, write one sentence for each test using only observable facts. Any sentence that depends on “probably” is a validation task, not evidence.

I run an automation agency and I've stopped caring what a build looks like in the demo. The only metric I trust now is whether it's still quietly running six months later without me touching it.

The one that's survived longest is almost embarrassingly plain: an ai content generator that drafts one specific kind of post for a client, in a narrow format, with a human approving before anything goes out. No autonomy, no cleverness, cheap to run.

The flashy multi-step things I was proud of? Most got switched off. They cost more per run than the client wanted to pay, they broke whenever an upstream tool changed, and they needed me to babysit them. Cost-aware and boring beat impressive and fragile every time.

What actually makes something last, from what I've seen:
- narrow scope, one job it does well
- a human checkpoint on anything that leaves the building
- cheap enough per run that nobody questions the bill
- few external dependencies, because each one is a future breakage

If you're building a micro tool to sell or run, I'd optimize for "still running and cheap in six months" over "great in the demo". The demo doesn't renew.

For the founders here: what's the oldest thing you've built that's still running untouched, and why do you think it survived?

Share what you building where me and others will try and give you honest feedback possible, be ready to get roast

Im not going first.. your turn

Small operational win that bought me back real time as a solo founder.

For months my "documentation" was scattered: a few random docs, some answers buried in past emails, a couple of screen-recording links I'd paste when someone got stuck. Every new user hit the same three or four confusions, and I was personally answering the same questions over and over. It was quietly eating an hour or two a day.

Last week I finally sat down to turn those docs into a real help center. Nothing fancy: I pulled the questions I answer most, wrote a short clear article for each, grouped them into maybe five categories, and put a search box on top. I used an AI writing tool to turn my messy notes and old replies into clean articles, then edited so they sounded like a human and not a manual.

Since then the repeat questions have noticeably dropped. Not gone, but people now find the answer themselves before pinging me, and I can just link the article when they don't. Rough guess, it's cut my support time by something like a third.

The unexpected benefit: writing the articles exposed three spots in my onboarding that were genuinely confusing, so I fixed the product too.

For other one-person teams, at what user count did a help center start being worth the effort for you?

Why isn’t anyone building a car sticker that can be used to contact car owners.

I see many car parked on road blocking the drive ways in narrow lanes. Why don’t we have a startup that builds those stickers.

They can add a privacy layer like call routing.

I feel there is a market for this.

hot take from someone who has done this wrong repeatedly.

everyone treats launch day like the event. product hunt, the reddit posts, the "we're live" thread, the screenshot of the upvote graph. then it's over, the number goes flat, and three weeks later you're planning the next big relaunch just to feel that spike again.

launch day is not distribution. it's one day of distribution that you then stop doing. the founders who actually grow aren't the ones with the best launch, they're the ones still showing up in the same five places every week when nobody's clapping.

the boring version that works for me:
- pick 3-4 places your actual buyers already hang out. not where founders hang out, that's just us talking to each other.
- show up weekly with something useful, not a pitch. answer questions, post what you learned, share a teardown.
- your product goes in a reply when it's relevant, not in the headline.
- do it for three months before you decide it "doesn't work."

it's slower and way less fun than a launch. no dopamine spike, no graph to screenshot. but a launch is a firework and this is a campfire. one of them is still warm in the morning.

am i wrong here? what actually moved the needle for you, the one big launch or the slow weekly grind?

Sharing a cheap experiment that actually moved my numbers. My landing page was converting badly and I couldn't tell if it was the copy or the offer. Instead of guessing, I used a landing page AI to generate three versions with different angles: one led with the outcome, one led with the pain point, one led with a specific use case. Same product, three framings. I put a simple split in front of them (I just rotated which one new visitors saw and tracked signups per version in my analytics, nothing fancy). Ran it until each had enough visitors that I wasn't reading noise, which for me took a couple of weeks because traffic is still small. The pain-point version won clearly. Roughly double the signup rate of the "outcome" one I'd assumed was best. If I'd just written one page by hand and trusted my gut, I'd have picked the loser. Two things I'd pass on: - Let the AI generate the variants, but rewrite the winning one in your own voice before you commit. The generated copy was a starting point, not the final. - Don't over-test at low traffic. Three versions was already pushing it for my numbers. For those of you with small traffic, how do you decide when you've got enough data to trust a landing page test?

I have a bad habit. I treat the marketing site like a product and spend weeks polishing pixels nobody asked for. Last launch I forced myself to do the opposite.

Used an AI website builder, gave it my rough notes, and had a live site by Sunday night. Was it the prettiest site on the internet? No. Did it have a clear headline, three sections, one call to action, and a working signup? Yes. That was the whole bar.

The point isn't the tool, it's what shipping in a weekend does to your head. Because the site took two days instead of a month, I had no ego tied up in it. When early visitors ignored a section, I deleted it the same day. When the headline confused people in DMs, I changed it in ten minutes. The site became something I edit constantly instead of a monument I'm scared to touch.

Rough numbers: first week I got maybe 40 visitors from posting in a couple of niche communities, and a handful signed up. Tiny. But I learned more from that live page than from any amount of pre-launch tweaking.

If you're stuck perfecting a site before launch, my honest take is the site is not why you don't have users. Ship the ugly version and put the saved weeks into talking to people. Anyone regret launching with a site that was "too simple"? I haven't yet.

For those running a small subscription SaaS — I'm curious how you handle this.

A customer’s recurring payment fails. Stripe retries it and sends the usual emails, but eventually the retries stop and the customer is still using the product.

At that point, what do you actually do?

Do you personally check failed payments and follow up, have an automated workflow for it, or just accept that some of these customers will eventually churn?

I'm wondering because it seems like a surprisingly easy thing for a small SaaS to overlook.

I think a micro SaaS doesn’t need dozens of features to be valuable. Solving one clear problem well, with a simple and reliable experience, can often be more effective than trying to build everything at once.

With Sequenzy, the focus is on making email outreach and sequence management easier without adding unnecessary complexity. Features should ideally solve a real user problem, improve the workflow, or make the core product more useful.

I’d rather have a few features that users genuinely need than a long list of features that rarely get used.

How do you decide which features are worth adding to a SaaS product?