[LRUG] Startup Timeline

[MG Lim]

Hi all,

thanks for your time, in-depth suggested background readings and sharing of
your experiences. It all boils down to an interesting journey at the end of
the day.

Will keep you posted with some updates, nicely wrapped with ruby questions;
somewhere down the path of between 5~10 years :). or 18 months if we r
lucky.

definitely appreciated all the ideas. cheers.
Jimmy


On 4 March 2014 09:58, Oskar Pearson <oskar at deckle.co.uk> wrote:

> Hi Jimmy, All
>
> > I am curious about how things for how ideas move on.... -> panning out
> to projects -> gathering a team and finally to funding rounds?
> >
> > More of a general discussion; but what have your experiences been; if
> you have been in that path or part of that path? "I wish I had done that in
> the beginning" moments..
> >
> > Marketing hells? Traction problems and in reality, the project took a
> good 3~5 years before media reported it as an overnight success.
> >
> >
> > PS: particularly with ruby-based frameworks / meteor styled frameworks;
> prototypes are quick to be churned out.
>
> If you're interested in this stuff, I'd suggest having a look at the
> news.ycombinator.com site, and Paul Graham's articles. London also has an
> occasional hacker news meetup. http://www.meetup.com/HNLondon/
>
> https://github.com/everpix/Everpix-Intelligence is relevant to the
> funding and founding side of things. It's a dump of all the key VC and
> other communications for their (failed) company, 2 years in.
>
> Also probably relevant:
>         https://www.compass.co - their reports on key success factors are
> pretty interesting
>
> http://businessofsoftware.org/2013/02/gail-goodman-constant-contact-how-to-negotiate-the-long-slow-saas-ramp-of-death/
>
>
> To quote the Everpix README:
> >
> > Everpix was started in 2011 with the goal of solving the Photo Mess, an
> increasingly real pain point in people's life photo collections, through
> ambitious engineering and user experience. Our startup was angel and VC
> funded with $2.3M raised over its lifetime.
> >
> > After 2 years of research and product development, and although having a
> very enthusiastic user base of early adopters combined with strong PR
> momentum, we didn't succeed in raising our Series A in the highly
> competitive VC funding market. Unable to continue operating our business,
> we had to announce our upcoming shutdown on November 5th, 2013.
> ...
> > Here are some example of common startup questions this dataset helps
> answering:
> >
> >       * What are investment terms for consecutive convertible notes and
> an equity seed round? What does the end cap table look like? (see here)
> >       * How does a Silicon Valley startup spend its raised money during
> 2 years? (see here)
> >       * What does a VC pitch deck look like? (see here)
> >       * What kinds of reasons do VCs give when they pass? (see here)
> >       * What are the open rate and click rate of transactional and
> marketing emails? (see here)
> >       * What web traffic do various news websites generate? (see here
> and here)
> >       * What are the conversion rate from product landing page to sign
> up for new visitors? (see here)
> >       * How fast do people purchase a subscription after signing up to a
> freemium service? (see here and here)
> >       * Which countries have higher suscription rates? (see here and
> here)
> >       * What frustrates people the most abour their photo collection?
> (see here)
> >       * Do people actually edit their digital photos? (see here)
> >       * What would it take to acquire customers through online ads in
> such a business? (see here)
> >       * How much price sensitive are consumers for such online services
> i.e. what's the price elasticity? (seehere)
> >
>
>
> Oskar




-- 
Jimmy Mian-Guan Lim

Email - mirageglobe at gmail.com | Profile - www.mglim.com
Twitter - twitter.com/mirageglobe | LinkedIn -
uk.linkedin.com/in/mirageglobe

DracoTurtur <http://www.dracoturtur.com/> | Creative Web Engineering
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