Category: AI, Computation, and Technology

  • Gave a demo of Oversing to a knowledgeable insider tonight. Got the appropriate

    Gave a demo of Oversing to a knowledgeable insider tonight.

    Got the appropriate reaction: “wow… everybody is going to want this.”

    Exactly.

    We solved the problem. 🙂 he he he he….


    Source date (UTC): 2013-12-24 16:03:00 UTC

  • CURT: “So, do you agree that we have the best UI in the industry?” (pause) CURT:

    CURT: “So, do you agree that we have the best UI in the industry?”

    (pause)

    CURT: “‘Come on. That is the best UI in the industry.”

    KIRILL: “Well, I am not sure that is very hard. Compared to SAP and Dynamics of course we have the best UI in the industry. It’s hard to call what they have a UI.”

    DENIS: (laughter) “Yes, it’s the best UI.”

    (laughter)

    We have killed it. Absolutely killed it.


    Source date (UTC): 2013-12-24 09:43:00 UTC

  • MASHUP (joy)(bubbling over) Oversing = Facebook + LinkedIn + Email + Microsoft C

    MASHUP

    (joy)(bubbling over)

    Oversing = Facebook + LinkedIn + Email + Microsoft CRM + Jira + Greenhopper + Microsoft Project + Halogen Recruiting Software + Scrivener + Confluence + Microsoft Dynamics PSA. Plus plenty of things none of those products do.

    And in one very clean interface.

    All we need are spreadsheets. But that’s off in the future.

    Like anything else, it’ll take three versions. But I’m pretty sure it’s gonna be the standard app for managing white collar work, even if I designed it for Advertising, Marketing, Internet and Technology firms.

    I know how to fix ‘the spreadsheet problem’ that plagues the world. And so maybe that’s the last killer feature to add…

    Getting ahead of myself. But we did it. We created a killer app. 🙂

    Gotta hire one of the best UI artists in the East to tune it up a bit. But it’s just what we wanted, and just what the market needs.


    Source date (UTC): 2013-12-23 06:04:00 UTC

  • SHARING THE JOY – PROGRESS REPORT Oversing works. We are starting to use it to m

    SHARING THE JOY – PROGRESS REPORT

    Oversing works.

    We are starting to use it to manage our business. Using Oversing to build Oversing so to speak.

    Now, there is still a lot of work to be done.

    Imagine: Enterprise project accounting with powerful workflow manager, your favorite CRM, every project management tool you can find, and Facebook put in a cauldron and stewed together. It’s not a trivial application. But it’s creative. And with our sort of ‘workspace’ we can build all sorts of user interfaces for all sorts of management needs.

    It’s so much better than I had envisioned.

    VIEWS: FROM ACTIVITY TO PLAN

    1) Your Activity Stream (like FB news stream for your business – and in project work this really does matter)

    2) Your Alerts (messages from the workflow engine that let you know you have something to approve or other, and messages from other users – and like fB you reply or collaborate in context of a profile.)

    3) A List (table) of your tasks so that you can sort them.

    4) A Tree view (Ribbons, or narrow index cards?) so that you can organize your work and your projects.

    5) An Agile Board view of your work or project.

    6) A Gantt Chart of your project (if you need such a thing – some of us do).

    You can manage one project at a time or a hundred. No difference.

    Each view can also be filtered by the sequence

    1) Idea – Things you haven’t committed to. But want to remember.

    2) Backlog – Things that you commit to but will work on in priority order.

    3) Board – things you are currently working on, and trying to finish.

    4) Archive – things that you’ve finished.

    The workflow engine can be customized for whatever is on the Board. So the moment you start work on something, your can create your own ‘Agile Board’ or Kanban Board, and work an issue at a time.

    We started with these Categories of projects:

    1) Sales and CRM (Goals, Leads, and Opportunities)

    2) Recruiting (goals, openings and candidates)

    3) Revenue Forecasting (Time Periods and Revenue Commits)

    4) Delivery of Project Work including

    …..i) WBS Projects (Phases and time)

    …..ii) Agile and Kanban Projects (iterations and queues)

    …..iii) Jobs and Work Orders (Production work)

    …..iv) Tickets and Queues (support requests)

    5) Management Initiatives and Career Development

    6) Accounting Periods. (Yes we manage accounting periods like projects – cause they are. )

    So you either load a template for a project for any given business problem, or you sort of compose a project with the different ‘panels’ you need, and save that workspace.

    Oversing sort of LOOKS like all these different applications that are slightly similar, but underneath the hood it’s all tasks, relations, and a project journal and ledger, and a workspace for composing the kind of UI needed to solve each business problem.

    Now, our killer feature is really resource allocation, and forward management of your business. But that doesn’t mean the rest of the app isn’t just crazy fun to work with. 🙂

    Cheers.


    Source date (UTC): 2013-12-20 15:15:00 UTC

  • THE FIRST KILLER APP FOR THE ENTERPRISE OF THE 21ST CENTURY I think we did it. I

    THE FIRST KILLER APP FOR THE ENTERPRISE OF THE 21ST CENTURY

    I think we did it. I didn’t really realize it until the past week. But I think we did it. Don’t want to get ahead of myself. But…. I think. I think we might have done it.

    Why can’t, say Google+, compete with FB – really? Because FB collected so many users that the network effect wasn’t possible to break. Why hasn’t something like FB or Gmail really penetrated the enterprise? Why are Outlook and exchange still so popular despite being two generations behind?

    Didn’t get the value prop right. No reason to change.

    Now there is.

    Might be crazy but I don’t think so. Might blow it. Easy to blow it. But honestly, I think I’ve got it. Need to spend more on it. Different launch now. Different pitch. Broader value prop.

    Sure, all those people who work in services businesses will want to use it just like we’d planned.

    On the other hand – just about every company would be better off with Oversing than whatever email or collaboration system they’re using today.

    We have started collecting beta sites. Got a few now. I don’t want to get too many. Just a handful.


    Source date (UTC): 2013-12-19 19:10:00 UTC

  • OVERSING UPDATE : AMAZING PROGRESS You know, there hasn’t been a significant inn

    OVERSING UPDATE : AMAZING PROGRESS

    You know, there hasn’t been a significant innovation in the means of using technology to operate a business in almost twenty years.

    And, I’m not claiming to have invented the shoemaker’s elves or anything. And it’s the combination of small advancements together that makes the difference.

    And it took a year to get the UI right. And it’s right. It just FEELS right.

    Yes, oversing is complicated. It’s an ERP scale piece of software. Yes, you can use it for a small company, and yes, even as an individual it will help you significantly run queues of work, jobs and work orders, Agile and Kanban projects, WBS projects and our ‘mixed model’ of agile and WBS. Yes, you can do all those things. And you can even mix them together.

    Yes, resourcing uses our funnel-model, so you can schedule out in the future and refine as you move closer to delivery.

    yes, you aren’t treated as a dollar per hour piece of meat by oversing either. We track six or seven basic measures, including likability.

    Those are all positives.

    But you can also run your accounting periods, payroll periods, sales process, recruiting, career development, strategic initiatives. You can MANAGE your business with full transparency.

    And it’s not this trivial little list-making nonsense you get from products like salesforce. And unlike Microsoft Dynamics, it completely hides the accounting functions. Unlike Jira/Greenhopper, underneath, first and foremost, it’s a financial package that lets you see your financial performance into the future.

    THERE IS NOTHING ON THE MARKET LIKE THIS PRODUCT.

    OVERSING IS A CATEGORY KILLER.


    Source date (UTC): 2013-12-12 14:58:00 UTC

  • OVERSING HAPPINESS (fun) I’m testing our product. And this song keeps going thro

    OVERSING HAPPINESS

    (fun)

    I’m testing our product. And this song keeps going through my head: “It’s .. beee-ginning to feel a lot like Christ-mas…, everywhere we gooooo…”

    Geek childbirth.


    Source date (UTC): 2013-11-28 09:23:00 UTC

  • NERD MOTIVATION (funny) Instead of using Greeking, “Lorem ipsum dolor”, I’m seed

    NERD MOTIVATION

    (funny)

    Instead of using Greeking, “Lorem ipsum dolor”, I’m seeding the Oversing test data with dirty jokes.

    Like cracker jack box prizes for developers.

    lol


    Source date (UTC): 2013-11-28 09:05:00 UTC

  • The Contributions Of Computer Scientists To The Reformation In Libertarian And Conservative Political Thought.

      When I went to Mises for the Austrian Scholars Conference the first time, I was struck dumb; first, by the incredible genius of the economic calculation argument, second by hoppe’s solution to the problem of institutions… But then equally by the failure to see that that BOTH Hayek and Mises were very close but wrong; the failure to grasp the importance of Popper’s contribution; the failure to grasp that no, the calculation issue was not ‘complete’. I realized something was wrong with Rothbard fairly quickly. It took me a few years to understand what Mises had done wrong with Praxeology, and only recently how to solve it completely. Hoppe was right about just about everything, but still had both Rothbard’s and Mises’ errors. But even so, he’d managed to get it all right anyway. Which, to me, is an even greater statement of his brilliance. Although, I’m still frustrated by his fascination with Argumentation. But it is this emphasis on experience and morality and preference instead of calculation that is everyone’s distraction. ( A topic that needs some reflection and exposition. And so I’ll return to it.) COMPUTER SCIENTISTS AND REFORMATION So strange. You know, there is this strange anti-computer-science bias in academia. But since the majority of intellectual revolution has come out of Mencius’ application of Austrian thought to conservatism, and my application of Austrian thought to libertarianism, while political science is fascinated by democracy, philosophy still squandering in the artifice of metaphysical pseudo-rationality, and mainstream economics is fascinated by growth and efficiency, and the left (literature) with obscurantism, pseudo-science, equality, diversity, and central control. And since, computer science is the only discipline that intersects between theoretical constructs and human interaction directly, I kind of think that, empirically speaking, computer science has more right than math, and certainly more right than economics. And political science and social science don’t even register signal above noise. Economics is a process of deduction from aggregation. Computer science is atomistic by its nature. It’s not deduction. It’s calculation. And therein lies an amazing difference in perception. We do not HAVE the economic data to tell us about human behavior at the level of atomicity we do with computers that interact with people on a daily basis. This teaches you about the hubris we must avoid when interacting with human beings. Math is platonic. Economics is idealistic. Computer science understands ‘ignorance, bias, incentives, and the limits of calculation’. Which is probably why we solved the political problem and the other groups didn’t.

  • The Contributions Of Computer Scientists To The Reformation In Libertarian And Conservative Political Thought.

      When I went to Mises for the Austrian Scholars Conference the first time, I was struck dumb; first, by the incredible genius of the economic calculation argument, second by hoppe’s solution to the problem of institutions… But then equally by the failure to see that that BOTH Hayek and Mises were very close but wrong; the failure to grasp the importance of Popper’s contribution; the failure to grasp that no, the calculation issue was not ‘complete’. I realized something was wrong with Rothbard fairly quickly. It took me a few years to understand what Mises had done wrong with Praxeology, and only recently how to solve it completely. Hoppe was right about just about everything, but still had both Rothbard’s and Mises’ errors. But even so, he’d managed to get it all right anyway. Which, to me, is an even greater statement of his brilliance. Although, I’m still frustrated by his fascination with Argumentation. But it is this emphasis on experience and morality and preference instead of calculation that is everyone’s distraction. ( A topic that needs some reflection and exposition. And so I’ll return to it.) COMPUTER SCIENTISTS AND REFORMATION So strange. You know, there is this strange anti-computer-science bias in academia. But since the majority of intellectual revolution has come out of Mencius’ application of Austrian thought to conservatism, and my application of Austrian thought to libertarianism, while political science is fascinated by democracy, philosophy still squandering in the artifice of metaphysical pseudo-rationality, and mainstream economics is fascinated by growth and efficiency, and the left (literature) with obscurantism, pseudo-science, equality, diversity, and central control. And since, computer science is the only discipline that intersects between theoretical constructs and human interaction directly, I kind of think that, empirically speaking, computer science has more right than math, and certainly more right than economics. And political science and social science don’t even register signal above noise. Economics is a process of deduction from aggregation. Computer science is atomistic by its nature. It’s not deduction. It’s calculation. And therein lies an amazing difference in perception. We do not HAVE the economic data to tell us about human behavior at the level of atomicity we do with computers that interact with people on a daily basis. This teaches you about the hubris we must avoid when interacting with human beings. Math is platonic. Economics is idealistic. Computer science understands ‘ignorance, bias, incentives, and the limits of calculation’. Which is probably why we solved the political problem and the other groups didn’t.