<commit_before>---
layout: post
title: acquiman - aggressive customer acquisition over twitter
---

![header img](https://camo.githubusercontent.com/8b1f4e70f35397d7efca43e95a8f6c44cab20fe9/687474703a2f2f737461746963312e636f6d696376696e652e636f6d2f75706c6f6164732f6f726967696e616c2f31302f3130303433392f323530363730332d74756d626c725f6c7674686d786f6b633231716b6f3478346f315f3530302e676966 "header img")

Acquiman is an aggressive way to get new users for your product via Twitter. The program allows you to search for people on Twitter who are tweeting about a particular topic, and then engage with them about that topic with an automated message via direct message.

This use case program was developed for [Bring A Towel](http://bringatowel.com), a project run by my buddy [Sam](http://samajoseph.com). Bring A Towel is a travel suggestion website that utilizes shared knowledge about cities and their attractions. This program is a use case in aggressive acquisition for users to be encouraged to add their experiences to the site.

## Example Usage

        $ python acquiman.py -u "aaronsdevera" -c "San Francisco" -s "burritos" -x
        $ 
            [+] Agent handle: aaronsdevera

            [+] Targeting subject: burritos
            [+] Targeting city: San Francisco

            [+] Target handle: UnusedPotential
            [+] Tweet: @stillinbeta the best San Francisco style burritos coffee from Denver. #fact
            [+] Tweet location: None
            [+] User location: San Francisco, CA
            [+] Draft message: 

            hey! my name is Sam from Bring a Towel. I saw you tweeting about burritos in San Francisco! we're compiling a list of places to visit in the city. would you be interested in contributing?

            [+] Message not sent; safety is engaged.

You can access [the acquiman source code on Github](https://github.com/aaronsdevera/acquiman).<commit_msg>post update<commit_after>---
layout: post
title: acquiman - aggressive customer acquisition over twitter
---

![header img](https://camo.githubusercontent.com/8b1f4e70f35397d7efca43e95a8f6c44cab20fe9/687474703a2f2f737461746963312e636f6d696376696e652e636f6d2f75706c6f6164732f6f726967696e616c2f31302f3130303433392f323530363730332d74756d626c725f6c7674686d786f6b633231716b6f3478346f315f3530302e676966 "header img")

Acquiman is an aggressive way to get new users for your product via Twitter. The program allows you to search for people on Twitter who are tweeting about a particular topic, and then engage with them about that topic with an automated message via direct message.

This use case program was developed for [Bring A Towel](http://bringatowel.com), a project run by my buddy [Sam](http://samajoseph.com). Bring A Towel is a travel suggestion website that utilizes shared knowledge about cities and their attractions. This program is a use case in aggressive acquisition for users to be encouraged to add their experiences to the site.

## Example Usage

        $ python acquiman.py -u "aaronsdevera" -c "San Francisco" -s "burritos" -x
        $ 
            [+] Agent handle: aaronsdevera

            [+] Targeting subject: burritos
            [+] Targeting city: San Francisco

            [+] Target handle: UnusedPotential
            [+] Tweet: @stillinbeta the best San Francisco style burritos coffee from Denver. #fact
            [+] Tweet location: None
            [+] User location: San Francisco, CA
            [+] Draft message: 

            hey! my name is Sam from Bring a Towel. I saw you tweeting about burritos in San Francisco! we're compiling a list of places to visit in the city. would you be interested in contributing?

            [+] Message not sent; safety is engaged.

## Source Code
You can access [the acquiman source code on Github](https://github.com/aaronsdevera/acquiman).
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