
Volza.com
Panjiva
Apollo.io
Instantly.ai
Lusha
Tradeindata
Find the companies you can sell to, with evidence, and get the first email into their inbox.

Git query language, for quickly searching git contents.

Which is more popular?
Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | outfound.ai | github.com |
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| Company | Startup from Turkey · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Outfound helps exporters and B2B sellers find the companies that could buy their product, and reach them. Describe your buyer and target market. Outfound researches each candidate company on its website today, keeps the ones that fit with the reason and a source link, and drops the rest with why....
No description of Gitql yet.
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Outfound.ai yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Outfound.ai and Gitql.
Outfound.ai's answer
Every company Outfound suggests comes with the reason it fits and the sources behind it, taken from the company's own website today. You can check each decision instead of trusting a list. Outfound also finds companies that do not import today but could sell or use your product, which customs data cannot show, and it covers the whole path to the first reply: the decision-maker, a verified email address, a first email in the buyer's language and a sending setup that protects your main domain.
Outfound.ai's answer
Customs data tools such as Volza or Panjiva show who imported a product in the past. Contact databases such as Apollo return people that match filters. Outfound starts from your product and your buyer, researches each company on the live web and tells you why it fits, with sources. It then writes a first email for that specific company and sends it from a separate, warmed-up domain. You get fewer, better-explained candidates and one tool from research to the first email.
Outfound.ai's answer
Manufacturers, exporters and B2B service companies that need new buyers abroad or at home, usually small and mid-sized teams without a dedicated research or sales operations function.
Outfound.ai's answer
The founders spent years in export sales, looking for buyers abroad. Manual prospecting took months, databases only filtered by industry and country, and deciding whether a company was a real buyer, finding the right person and writing a personal first email were all still manual. Outfound was built in Izmir, Turkiye, to do that work with evidence you can check.
Outfound.ai's answer
Next.js and TypeScript on the front end, Python on the back end, PostgreSQL and Redis for data and queues, large language models from Google, Anthropic and OpenAI for research and writing, and our own sending infrastructure with SPF, DKIM, DMARC and dedicated IPs.
Outfound.ai's answer
Share your experience with using Outfound.ai and Gitql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Outfound.ai since Sep 2026.
How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago
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Tradeindata is a global Import Export Data platform providing comprehensive import data, export data, and customs statistics for over 200 countries. By accessing shipment-level records and port data, users can analyze trad
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