You can spend 3 years building the best product, fine-tuning your features and offers.
But if nobody knows about it, how will they use it?
Many founders hate marketing, but it drives the 1 thing every business needs: GROWTH.
No marketing, no customers. 🤷🏽♀️
I asked @RebateLaunch with four questions before deciding whether it deserves more attention:
- What exactly is the launch doing?
- Who is the intended user?
- What can someone participate in today?
- What evidence shows that the project is progressing?
From the public information I could access, RebateLaunch appears to be positioning itself as an early Web3 launch and community-building initiative. I could confirm the project’s public presence, but I could not independently verify clear answers to all four questions.
That creates both an opportunity and a weakness.
The opportunity is timing: the project can still build its identity and improve the onboarding experience before reaching a larger audience. The weakness is that a new user currently has limited information for judging the product against established launch platforms.
My conclusion is measured: RebateLaunch is worth researching, but the next update needs to provide more than visibility it needs to provide evidence.
Knowing your target audience is only half the positioning equation.
You also need to understand the moment they become willing to pay for help.
A founder might ignore brand strategy for months.
Then a product launch underperforms, referrals start drying up, or competitors begin winning customers they should have attracted.
Suddenly, the same service becomes relevant.
That's a buying trigger.
Great positioning connects your expertise to the specific situations that make people realize they need it.
Don't just study who your ideal clients are.
Study what happens immediately before they start looking for someone like you.
Did you know that rookie Max Verstappen managed to finish P4 at the #USGP in 2015....in a Toro Rosso?
Max started P8 and delivered an incredible performance in a car that was nearly a backmarker.
TR finished 7th in the Constructors' championship that year.
[📸: Red Bull content pool]
most sales teams running google ads have no idea which ad created which deal in their salesforce pipeline
google ads says it drove 40 leads. salesforce says lead source = "web". nobody can connect a closed won deal back to the keyword that started it
so the budget gets set on vibes
the fix is so easy
put utms on every ad and turn on auto tagging so you get the gclid
add a small script to the site that saves the utms + gclid + referrer + landing page to a first party cookie on the first page view. save first touch and last touch
visitor leaves and comes back 3 days later direct, the cookie still has the original ad
when they fill out the demo form the script drops the cookie values into hidden fields
map those fields to custom fields on the lead in salesforce
carry them over to the contact and opportunity when the lead converts. this is the step everyone forgets and why their reports break
send closed won deals back to google ads as offline conversions with the gclid and deal value so google bids toward revenue not form fills
then build one report. ad spend by campaign next to pipeline and closed won revenue by campaign
almost every time 2 or 3 campaigns drive all the revenue and the "high converting" ones are just making junk leads
you don't need another attribution tool. utms a cookie hidden fields field mapping
get started for free - https://t.co/0WdF1Ri8Ix
the first five minutes on a new platform can decide everything.
confusing interface?
people leave.
unclear instructions?
people hesitate.
too many steps?
interest disappears.
that's why i'm curious about the user experience @RebateLaunch will build.
its proposed model introduces additional purchase rewards and potential daily holding incentives.
but even an interesting incentive can lose its appeal if participation feels complicated.
a good launchpad should explain the process before asking users to interact.
what happens when you participate.
which conditions apply.
where rewards appear.
and how to understand the result.
these sound like small details.
yet they determine whether someone feels comfortable exploring a new product.
web3 doesn't always need more features.
sometimes it needs fewer obstacles.
could a simpler onboarding experience become a bigger advantage than another reward campaign?
Your product page is the difference between a sale and a bounce.
Shoppers scan in seconds, so if your layout is slow or cluttered, you've already lost them.
Stop burying the value, show the results, social proof, and a clear offer immediately.
Tech founders confuse "narrative" with "story," and it is why their launch posts die at 12 likes.
renowned author Charlie Euchner broke down why 95% of founder storytelling falls flat:
A narrative arranges facts to serve your company's self interest.
A story wrestles with a painful contradiction to reveal a hard truth.
Scroll through B2B founder timelines today and you will see the same press release narrative disguised as a story:
"We saw enterprise onboarding was broken. We built an automated workflow engine. In six months, we grew 300% and closed our seed round."
Nobody bonds with a victory lap. Buyers scroll past that post because nothing is at stake and nobody made a mistake.
Compare that to a real founder story:
"We almost killed our company in Q2 because I forced per seat pricing when our users wanted usage credits. We lost 4 enterprise pilots in 11 days. Here is the spreadsheet that showed us what broke."
The product didn't change but the buyer's trust did. You can turn your own founder scar tissue into a sales asset with two shifts:
1:Drop the reader into the afternoon things broke. Skip the origin story preamble and open on the exact week churn spiked, a deploy failed, or a prospect walked away. State the wrong assumption you held about the market that caused the mess.
2:Show the exact mechanism of the fix. Never write that you "listened closely to customer feedback." Show the pricing tier you killed, the onboarding step you deleted, or the code you ripped out at 2 a.m.
A press release claims your product works. Your scar tissue proves you already survived the exact problem your buyer is paying to avoid.
https://t.co/0RnbcwbyFe
gmgm ^^
another pretty wild milestone for fintech
@mercury just crossed $1B in annualized revenue, growing around 50% YoY
and the numbers behind it are just as interesting
- 450K+ customers
- $1B annualized revenue
- ~50% YoY growth
- payroll services now on the way
but what caught my attention isn't just the revenue
Mercury is gradually moving beyond business banking and building a much broader financial infrastructure layer
payments, payroll, treasury management, and now the possibility of AI agents interacting with financial accounts
that's where things start getting interesting
as AI agents become more capable of handling actual business operations, the infrastructure allowing them to move and manage money safely could become a massive opportunity
@immad and the team are clearly thinking beyond traditional fintech
$1B is a huge milestone, but the next chapter might be even more interesting
everyone selling AEO and GEO like its a new thing
its seo. you just have to rank on 3 search engines now instead of 1
chatgpt gemini and claude dont have their own copy of the internet. they run a web search and read what comes back
gemini + ai overviews = google index
chatgpt = mostly bing + openai's own crawler
copilot = bing
claude = brave search
so the playbook is the same. get indexed, rank, be the clearest answer on the page
what changes
set up bing webmaster tools, it has an ai performance report now that shows copilot citations
ping indexnow every time you publish
search your keywords on https://t.co/GBiirzktW6. if youre not there claude cant cite you. brave has no search console so submit at https://t.co/2SYQdqgaEx and send real traffic to the page
write for the fan-out, one prompt = a bunch of searches behind the scenes so long tail pages with direct answers get pulled in
answer in the first 2 sentences under every h2. the model grabs a chunk not your whole page
the ai part is the last mile. ranking is still the job
get started for free - https://t.co/rex24guQvx
One well-documented example can answer questions that dozens of promotional posts leave open.
That is the kind of material I would find useful from @RebateLaunch once its proposed mechanisms can be demonstrated.
A complete case study could follow a launch from its initial setup through a purchase, showing which incentives apply and how the relevant transactions are recorded.
It should identify the conditions of that example and distinguish observed results from expectations. One successful demonstration would have limits, but it could still make an unfamiliar concept much easier to understand.
I am describing evidence I would welcome, rather than a case study I have already seen.
For me, concrete examples help connect product explanations to observable behavior.
My take: RebateLaunch could deepen understanding through a carefully documented walkthrough of actual use. Showing the sequence, conditions, and results in one place would give the community a shared reference for discussing how the model works.
ChatGPT doesn't "know" your product
It reads pages about it
No pages → no recommendation
Cheapest page you can get today: a listing with your pitch, pricing, screenshots and FAQ on its own indexed URL
Unpopular opinion but Not every Web3 project needs a community.
And before you come for me, hear me out. 😂
I've observed something in Web3, a lot of projects launch communities because that's what everyone else is doing.
They open a Telegram group or Discord server, introduce rewards, organize activities, and try to keep thousands of people engaged.
But the question that should be asked is that how many of those people actually use the product?
Some join for the rewards and leave when the incentives stop. The project ends up with impressive community numbers but struggles to achieve the adoption it actually needs.
And I think this is where our approach to community building needs to change.
Not every project has the same audience or business model.
Some projects are B2B, Some are B2C. Others provide infrastructure or tools that users simply need to work reliably.
For these projects, a strong customer support system, responsive email support, clear documentation, and efficient issue resolution might be more valuable than running a large public community.
Imagine spending so much time trying to keep thousands of people active when your actual users are waiting hours for a response to their support requests.
Wouldn't it make more sense to fix that first?
Don't get me wrong. Communities can be incredibly valuable. They can help projects gather feedback, build trust, educate users, and encourage adoption.
But the kind of community a project builds should depend on what it needs to achieve.
Sometimes, that means building a public community. Sometimes, it means creating a smaller group of active users. And sometimes, the priority should be excellent customer support.
Before launching a community, projects should ask themselves:
What do our users actually need, and what is the best way to serve them?
Because having a community and building something people genuinely need are two different things.
I'd love to hear from founders and community managers: should every Web3 project launch a public community, or should the approach depend on the product and its users?