What is OfferLetter?
OfferLetter is a tool that drafts a professional offer letter from role, compensation, and start date, with standard clauses.
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OfferLetter drafts a professional offer letter in a minute from role, compensation, and start date.
OfferLetter drafts a professional offer letter in a minute from role, compensation, and start date — with standard clauses and a jurisdiction-aware note.
Typical path: 3 reviewable steps (input → generate → review). No fabricated user counts.
What does OfferLetter include at a glance?
- Role and comp summary
- Standard clauses
- Start date and contingencies
- Jurisdiction note
How do you use OfferLetter?
1. Open OfferLetter
Go to the workspace and enter the inputs OfferLetter asks for.
2. Generate the draft
Run OfferLetter to get a structured plain-English result.
3. Review before you act
Edit anything that does not match your context. Treat the output as decision support.
What do people ask about OfferLetter?
What does it include?
A role and comp summary, standard clauses, start date, contingencies, and a jurisdiction note.
Is it jurisdiction-aware?
It includes a jurisdiction note reminding you that local rules vary.
How fast is it?
It drafts the letter in about a minute.
Who should use it?
Founders and HR who send offers regularly and want a clean draft fast.
Does it replace legal review?
No. The jurisdiction note signals the letter should be checked against local rules before sending.
Which countries and regions can I use OfferLetter in?
As a cloud web app, OfferLetter is reachable from any country with internet access; there is no region lock by default. Payment availability via our merchant of record (Waffo Pancake) may vary by processor and region.
Is OfferLetter GDPR and privacy compliant?
Your inputs are used only to generate your output and are never sold. Retention, sub-processors, and your rights are described on our Privacy page; Enterprise plans can include a DPA and NDA on request.
What languages does OfferLetter support?
The interface and generated results are in English. You can paste input in other major languages wherever the underlying model understands them.