Ten minutes in Telegram
Type it out at 2am, or hit call in the same chat and just talk. She asks what a good mentor would, and remembers all of it.
Open in Singapore
Stop applying.Get asked.
Your career agent. Ten minutes, once.
Text or voice call — all in Telegram
Briefed to Donna this month — you're considered for all of them
Job boards list roles. Filters rank keywords. Recruiters skim PDFs. None of them have ever met you. Donna has.
She'll know the things a CV has no room for.
Not your GPA. The tool you built, the part you'd never write down, the offer you'd drop everything for.
What your CV saysPDF
- NUS, Computer Science, Year 3
- GPA 4.21 / 5.00
- Software Engineering Intern, a fintech
- “Worked on backend systems in an agile environment”
- Python, React, SQL, Git
- Interests: hiking, photography
What Donna tells a hiring managerLIVE
The work that isn't on the page
Wrote the matching engine for a payments reconciliation tool, alone, in eight weeks. Cut ops time 31%.
Strong, and honest about the rest
Payments infrastructure and ugly data. Not a frontend engineer, and says so before being asked.
What would actually move them
Owning one surface end to end on a team under fifteen. Would take $4.5k over $6.5k for that.
Hard limits
Would relocate to Jakarta or HCMC. Never a bank. Never crypto.
Timing worth planning around
Free from May, needs eight lighter weeks at FYP submission.
One conversation, then nothing.
Ten minutes, once. After that she works in the background.
She keeps it current
New project, new grade, changed your mind about consulting? One message and it updates.
The right roles come to you
She checks who genuinely fits and asks you privately. One tap: yes or no. You never write an application again.
She makes the introduction
Only after your yes does anyone see you — and they arrive already knowing your work.
D
Donna
04:12
“So tell me about the recon tool. Did you write the matching engine yourself?”
Your profileLIVE
Real work
Built a payments reconciliation engine alone. Ops time down 31%.Strong at
Payments infra, messy data. Not frontend.Wants
Team under 15, owns a surface. $4.5k over $6.5k for it.Won't do
Banks. Crypto.Free from
May. Eight lighter weeks at FYP.You weren't looking. Read this one anyway.
Founding Engineer, Payments
Series A fintech · Singapore · 11 people
- They need real reconciliation experience
- Team of 11, you said under 15
- They'll work around your FYP, I asked
Interested
Not for me
You don't need to find them. They're already here.
Hiring teams brief Donna directly. The day your profile exists you're considered for every brief that fits, month after month.
Nobody sees you until you say so.
No public profile. No “open to work” badge. She asks before every introduction.
Match me to roles
She checks fit quietly and only messages when it's real.
Hide me from specific companies
Blocklist your employer. They never see you surface.
Share salary expectations up front
Off by default. Turn it on to filter out lowball intros.
Questions worth asking.
I'm in Year 2 with one small internship. Is this for me?
Especially. The thinner your CV looks on paper, the more you gain from something that can explain what you actually did. Uni, poly or bootcamp — if you can talk about work you've done, she can use it.
Do I have to type, or can I talk?
Either. It all happens in Telegram — text her, or start a voice call in the same chat. Talking usually gets further in ten minutes, because you stop editing yourself.
Will my school or current company find out?
No. Nothing reaches a company until you approve that specific introduction. You can blocklist any employer outright.
Does it cost anything?
Never for candidates. Companies pay to hire — which is why Donna works for you, not for whoever is paying to message you.
How is this different from LinkedIn?
LinkedIn rewards people who write good keywords, not people who do good work. Donna holds what a profile has no field for: what you'd move city for, what you'd take a pay cut for, the project you never wrote up.
What if I'm not looking right now?
That's the point. The best roles arrive when you weren't searching. She keeps your context warm so you hear about them, instead of reading about the hire six months later.
Can an AI really represent me properly?
She represents what you told her, in your words, and asks before using any of it. Read everything she holds any time, and correct her in a message.
Ten minutes now. Asked for years.
Summer recruiting is decided long before the postings appear.