Since we released our Hashtag Intelligence tool, the most requested addition has been the possibility to track tweets for an hashtag only for a given language. This is helpful both for hashtags which have different meanings in different languages, and for common hashtags where you only want to focus on users for a given language.
Today we’re glad to announce that this feature has been added to CyBranding Hashtag Intelligence. When you choose to track an hashtag, you can now choose to filter only tweets that are written in a given language. If you do so, trends, influencers and correlations will be computed considering only tweets that use that hashtag AND are classified by Twitter as written in the chosen language.
One caveat though: If a tweet doesn’t contain any word that allows Twitter to recognize the language, that tweet will be excluded from the analysis.
After many months of hard work, we just published the first public beta version of CyBranding Hashtag Intelligence – together with a renewed, always free hashtagify.me
Why this new tool? Because we wanted to go beyond the limitations of the free 1% sampling of all tweets that Twitter gives away. Because we wanted to give you a more detailed, more timely, more insightful analysis of your own hashtags.
If you want to know what this is all about, please take a look at our 3 minutes intro video. And let us know what you think!
It’s been a pretty long time since the last update to hashtagify.me, but things are going to change soon. For now, we are glad to announce that since yesterday hashtagify.me works correctly with all non-Latin alphabet hashtags.
The data for those tags has already been collecting for some time, so the coverage should be pretty good. If you want to explore hashtags in any non-Latin alphabet, now you can have your fun.
Bigger changes are going to follow soon. Stay tuned!
Over time, I started using this blog to post more about technical and start-up related subjects than about hashtagify.me specifically. This was a little confusing, so I decided to split the blog in two: Here I will only post about hashtagify, while I’ll publish all my technical and personal posts on my new blog danmaz74.me
If you came here looking for a specific post and don’t find it, try looking there!
As pointed out by Chris Messina, the “inventor of Twitter hashtags” (rather, the one who pushed for their adoption on Twitter, which is no little feat), Google just rolled out hashtags autocompleting on Google Plus, thus giving their official support for hashtags there.
This is very good news, because hashtags are a really easy way to tell what your posts are about. And because hashtagify.me could add Google Plus hashtags data too in the future… would you like that?
Lately I’ve been hard at work on Hashtagify Pro, a new tool that lets you track a specific campaign or subject (not limited to hashtags) on Twitter and analyze which influencers are impacting it and how.
Today is a big day: We are ready to start a private beta!
You can go to pro.hashtagify.me and take a look at the new website, where you can also find a Demo/Tour that shows the kind of analysis you can do with Hashtagify Pro.
If what you see interests you, you can apply for a free beta account using the link in the home page. Beta accounts will be activated as soon as there are free resources on the server.
We’re also very interested in your feedback: Comments, glitches, ideas, suggestions. Hashtagify Pro is still in evolution and your suggestions now can have an important impact.
So, let us know what you think!
PS: Hashtagify Pro works best with a recent browser. IE only works with version 9.
Creating a startup while working a full time job has its pros and cons. Among the pros, you don’t have to use a lot of your time minding your investors (or looking for them), and you can devote your energies to just make the best possible product. Among the cons, progress is slower and it is very difficult to be productive on workdays, when you already spend 8 hours or more on your day job.
But a week ago I read a comment on HN (edit: thanks to raju in the comments for pointing me to the exact link) that inspired me to rethink how I’m organizing myself , and with one simple change I doubled my productivity on workdays. How? Instead of working on hashtagify at nights, after getting home from my day job, I’m starting my day two hours earlier, and doing 2 hours of programming in the morning, before going to work.
I’m usually a night person, and have always been very productive at nights, since when I was just a student. But after eight hours of work, it is difficult to have that kind of focus that you need to program, and the two (or two and a half) hours in the morning have been much more productive than the equivalent time in the evening.
After coming home I still do some lighter work, and don’t go to bed without having scheduled a task to do the next morning; this way when I wake up I don’t have to think what to do and I can be immediately productive.
So, the bottom line is that work on hashtagify pro is proceeding very well: now I’m making as much progress during the workweek as I usually make during weekends, while before I only made major progress outside workdays. This means that soon enough I’ll be able to release the first beta. Stay tuned!
If you’re doing a marketing campaign on Twitter, how can you measure its real impact? And, specifically, how can you evaluate the individual contribution of single campaign participants?
This is something that has been asked to us, and we think we’ve found an interesting solution to visually show this information by leveraging the hashtagify technology. So, if you’re interested in this kind of analysis, stay tuned. And, if you have specific suggestions or requests related to this, don’t hesitate to contact me writing to @hashtagify . First come, first served…