Capture attention on X. Turn it into revenue. Main account - @unfairdotso
Joined April 2026
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stop cooking your launch videos without us
nitter.gq/i/status/2099264528034…
unfair.so intern retweeted
How much revenue are database companies losing because agents aren’t able to sign up autonomously?
Today, we’re releasing @tryscope_app's first database benchmark.
We tested 18 hosted databases to see which are ready to win that market. We measured which databases agents could use, analyzed where they failed, and identified best practices to fix the blockers.
Across 1,035 sessions, only 16.6% reached a first working result and failed sessions all came from products not being agent friendly.
We tested 20 model-and-agent-tool combinations across harnesses including Claude Code, Codex and Cursor.
The task: start with no account, set up the named database, write a record, and hand over the credentials. An account or API key alone didn’t count.
What we found:
→ @prisma led with an 88.3% success score, followed by @upstash at 63.3%, @neondatabase and @niledatabase at 43.3%, and @ClickHouseDB at 38.3%.
→ 7 of 18 products had zero successful sessions across every agent tested.
→ CAPTCHAs stopped 373 sessions. Bot blocks stopped another 105. Other barriers included rejected agent email domains and OAuth-only flows.
→ 50 of the 172 successful sessions used a working database without creating an account. Letting agents try the product before signing up made a difference.
An agent can arrive knowing exactly which product it wants to use and still never become a user. For developer tools, the path from “use this database” to a working result is part of your conversion funnel.
See the full leaderboard, methodology and session transcripts: tryscope.com/leaderboard/dat…
Special thank you to our partners @AgentMail and @Agentphone for giving us the right tools to run this experiment.
🤖 Made with AI
most agents getting to the databases be like
How much revenue are database companies losing because agents aren’t able to sign up autonomously?
Today, we’re releasing @tryscope_app's first database benchmark.
We tested 18 hosted databases to see which are ready to win that market. We measured which databases agents could use, analyzed where they failed, and identified best practices to fix the blockers.
Across 1,035 sessions, only 16.6% reached a first working result and failed sessions all came from products not being agent friendly.
We tested 20 model-and-agent-tool combinations across harnesses including Claude Code, Codex and Cursor.
The task: start with no account, set up the named database, write a record, and hand over the credentials. An account or API key alone didn’t count.
What we found:
→ @prisma led with an 88.3% success score, followed by @upstash at 63.3%, @neondatabase and @niledatabase at 43.3%, and @ClickHouseDB at 38.3%.
→ 7 of 18 products had zero successful sessions across every agent tested.
→ CAPTCHAs stopped 373 sessions. Bot blocks stopped another 105. Other barriers included rejected agent email domains and OAuth-only flows.
→ 50 of the 172 successful sessions used a working database without creating an account. Letting agents try the product before signing up made a difference.
An agent can arrive knowing exactly which product it wants to use and still never become a user. For developer tools, the path from “use this database” to a working result is part of your conversion funnel.
See the full leaderboard, methodology and session transcripts: tryscope.com/leaderboard/dat…
Special thank you to our partners @AgentMail and @Agentphone for giving us the right tools to run this experiment.
unfair.so intern retweeted
YC said Company Brain is where they're putting money
This is a great example of it
- ICP
- Personas
- Objections
- Competitors
Get all info from the brands you want to sell to, fill your agent with context, and let the game start
made 40 GTM brains with Pancake
copy a brain and give that context to your agent
gtmbrain.si
our research on how context affects GTM recommendations below
unfair.so intern retweeted
What is this magic?
why is @robj3d3 GTM different than everyone else?
@composio
@supabase
@vercel
@Uare_ai
@perplexity_ai
@linear
@resend
@raycast
@NotionHQ
@stripe
@figma
@alexfinn
@eugZolotarenko
@cursor_ai
@chatbase
@xpickr
@AskVenice
@AikidoSecurity
@clay
cool GTM growth bubbles by Pancake
Tagged a bunch of accounts since they are in the analysis. None were asked to endorse this post, there is a sponsor for this post and it's Pancake.
🤝 Paid partnership
made 40 GTM brains with Pancake
copy a brain and give that context to your agent
gtmbrain.si
our research on how context affects GTM recommendations below
unfair.so intern retweeted
this is actually sick as fuck for anyone working in GTM
research shows that marketing-specific context helped agents go from 47.9% to 88.4% of optimal decision value
imagine having agents that already know your product, ICP, positioning and past campaigns instead of having to explain everything from scratch every single time
made 40 GTM brains with Pancake
copy a brain and give that context to your agent
gtmbrain.si
our research on how context affects GTM recommendations below
sick for GMTers
made 40 GTM brains with Pancake
copy a brain and give that context to your agent
gtmbrain.si
our research on how context affects GTM recommendations below
unfair.so intern retweeted
huge collection of GTM case studies you can give to your agent!
data by Pancake team
cool to see Super X (by @robj3d3) in the list!
made 40 GTM brains with Pancake
copy a brain and give that context to your agent
gtmbrain.si
our research on how context affects GTM recommendations below
unfair.so intern retweeted
Introducing Jev @typesafeai powered social-api
Try it at treg.to/social
- One API to access any social data
- Track every mention of you & your competitors
- Find trending posts in your niche, filtered by Jev
- Under $0.05 to pull 1,000 competitor ads
Open source, 0% markup
👇 Repo link below
unfair.so intern retweeted
We're excited to unveil VINCO, our frontier AI model trained to play and win 1v1 Catan.
We've secretly deployed it on the Colonist.io global leaderboard, where it has reached both the #1 and #2 positions, consistently beating every human world champion.
somebody make a movie out of this
We're excited to unveil VINCO, our frontier AI model trained to play and win 1v1 Catan.
We've secretly deployed it on the Colonist.io global leaderboard, where it has reached both the #1 and #2 positions, consistently beating every human world champion.
unfair.so intern retweeted
The research behind every big decision usually takes a week. Claim that week back.
Today, we are introducing TinyResearch and TinySet.
Available now: tinyfish.ai/deep-work
TinyResearch turns a hard question into a report you can make a decision on.
TinySet turns a natural language prompt into a complete dataset, built from information scattered across pages on the web.
unfair.so intern retweeted
everyone asks how i onboard 200+ creators a week at unfair
look at @Tiny_Fish building me a dataset of 100 SF creators in a few mins
no rocket science, just tinyfish.ai/deep-work
🤝 Paid partnership
The research behind every big decision usually takes a week. Claim that week back.
Today, we are introducing TinyResearch and TinySet.
Available now: tinyfish.ai/deep-work
TinyResearch turns a hard question into a report you can make a decision on.
TinySet turns a natural language prompt into a complete dataset, built from information scattered across pages on the web.
unfair.so intern retweeted
BREAKING: Today we killed Giphy on Slack
Introducing Jester for Slack: the agentic Giphy
Try free: memelord.com/slack
unfair.so intern retweeted
i use willow voice to dictate replies in Gmail all the time
it helps a lot and speeds things up, but when you have 900 emails, it’s damn near impossible to get through them all..
that’s where hellosol.app comes in
unfair.so intern retweeted
SEO people just got another NIGHTMARE.
imagine ranking #1 on Google only for someone's AI agent to recommend your competitor 💀
and you don't even know why.
Enrich Labs just launched ACO to track what buyers ask Muse, Instinct and Dots, which brands these agents recommend, and why yours gets skipped.
you can track changes daily, compare competitors, and even ask Helena to make fixes directly on your website.
only 100 brands are getting access.
agentconversion.ai
🤝 Paid partnership
Today, we're introducing Agent Conversion Optimization → agentconversion.ai
Muse, Instinct, Grok Bot already process $10B+ a year in GMV via agentic commerce. No GEO tool today tracks who they recommend.
So we built it.
Each agent behaves very differently from typical LLMs, so we track them separately, then Helena deploys the fixes.
1/ Daily tracking of who Muse, Instinct, Dots recommend, and why
2/ Share of recommendations vs your competitors
3/ Agent path to check out audit
4/ Fixes deployed by Helena to improve your discoverability
This is hard to do reliably with little bias given how these agents behave, so we're starting with only 100 initial customers.
Demo:
unfair.so intern retweeted
the future of email isn't just smarter replies. it's getting the actual work done.
Sol is an interesting step in that direction 👀
🤝 Paid partnership
We shipped a BIG update to Sol (hellosol.app)!
Sol is for people who have consequential work in their inbox.
The most fun part tho - was watching the bets behind this update play out with early users:
- 100+ new emails a day - is the norm for a LOT of people: founders, execs, sales, recruiters, consultants, ops.
- To make things interesting - every email asks for something different: a decision, an approval, a meeting, a proposal.
- The heavy lifting is in: arriving at the decision, doing the review, picking if/when to meet, creating the proposal.
- Drafting the reply - is merely the outcome of that heavy lifting. That alone doesn’t solve the real problem.
That’s where Sol is different. It works on every email as soon as it arrives, does the heavy lifting each one needs, and prepares it for your approval.
You approve or edit. It learns each time and keeps getting better.
When your inbox is filled with highly consequential work, you need an assistant that’s doing the heavy lifting, continuously.
That’s what we’re building Sol to be - proactive about what you need, 100 times a day, every single day.
Extending early access to this big update ✌️
unfair.so intern retweeted
one of the most annoying parts of doing growth is all the small tasks that pile up in my inbox.
someone asks for a follow-up, another wants more info, someone else needs a proposal.
normally i'd have to go through old emails, gather context, and figure out what to send.
Sol is built to do that prep work for me.
it finds what needs to be done, pulls together the relevant context, and gets everything ready for me to review before sending.
pretty cool idea, especially if your inbox is as chaotic as mine haha
join the waitlist - hellosol.app
We shipped a BIG update to Sol (hellosol.app)!
Sol is for people who have consequential work in their inbox.
The most fun part tho - was watching the bets behind this update play out with early users:
- 100+ new emails a day - is the norm for a LOT of people: founders, execs, sales, recruiters, consultants, ops.
- To make things interesting - every email asks for something different: a decision, an approval, a meeting, a proposal.
- The heavy lifting is in: arriving at the decision, doing the review, picking if/when to meet, creating the proposal.
- Drafting the reply - is merely the outcome of that heavy lifting. That alone doesn’t solve the real problem.
That’s where Sol is different. It works on every email as soon as it arrives, does the heavy lifting each one needs, and prepares it for your approval.
You approve or edit. It learns each time and keeps getting better.
When your inbox is filled with highly consequential work, you need an assistant that’s doing the heavy lifting, continuously.
That’s what we’re building Sol to be - proactive about what you need, 100 times a day, every single day.
Extending early access to this big update ✌️
unfair.so intern retweeted
got a cold email about my screen recorder repo. nice compliments, "would you be open to a quick chat?"
Sol looked into the sender in 25 seconds. no history, and their company sells sms and ai receptionist services. so probably a mass outreach, not someone who cares about my tool
it suggested a polite no, kept the one useful tip from the email and linked it to a task i already had open. reply was ready to review - feels magical 🪄
join the waitlist: hellosol.app
🤝 Paid partnership
We shipped a BIG update to Sol (hellosol.app)!
Sol is for people who have consequential work in their inbox.
The most fun part tho - was watching the bets behind this update play out with early users:
- 100+ new emails a day - is the norm for a LOT of people: founders, execs, sales, recruiters, consultants, ops.
- To make things interesting - every email asks for something different: a decision, an approval, a meeting, a proposal.
- The heavy lifting is in: arriving at the decision, doing the review, picking if/when to meet, creating the proposal.
- Drafting the reply - is merely the outcome of that heavy lifting. That alone doesn’t solve the real problem.
That’s where Sol is different. It works on every email as soon as it arrives, does the heavy lifting each one needs, and prepares it for your approval.
You approve or edit. It learns each time and keeps getting better.
When your inbox is filled with highly consequential work, you need an assistant that’s doing the heavy lifting, continuously.
That’s what we’re building Sol to be - proactive about what you need, 100 times a day, every single day.
Extending early access to this big update ✌️
unfair.so intern retweeted
me: "will send the proposal tonight"
me 9 days later: 💀
turns out $14,000 of work was sitting in my inbox
a client proposal, an invoice, a VC asking for our deck
gave Sol my inbox
it found all 3 and drafted them
I just clicked yes
waitlist 👇
🤝 Paid partnership
We shipped a BIG update to Sol (hellosol.app)!
Sol is for people who have consequential work in their inbox.
The most fun part tho - was watching the bets behind this update play out with early users:
- 100+ new emails a day - is the norm for a LOT of people: founders, execs, sales, recruiters, consultants, ops.
- To make things interesting - every email asks for something different: a decision, an approval, a meeting, a proposal.
- The heavy lifting is in: arriving at the decision, doing the review, picking if/when to meet, creating the proposal.
- Drafting the reply - is merely the outcome of that heavy lifting. That alone doesn’t solve the real problem.
That’s where Sol is different. It works on every email as soon as it arrives, does the heavy lifting each one needs, and prepares it for your approval.
You approve or edit. It learns each time and keeps getting better.
When your inbox is filled with highly consequential work, you need an assistant that’s doing the heavy lifting, continuously.
That’s what we’re building Sol to be - proactive about what you need, 100 times a day, every single day.
Extending early access to this big update ✌️