SnippetsLab is a full-featured, easy-to-use snippets manager. It helps you to build your personal knowledge base and makes sure that you have easy access to them whenever you want.
Main Features
Lepton, SnippetsLab, and Boostnote are probably your best bets out of the 33 options considered. 'Multi platform support' is the primary reason people pick Lepton over the competition. This page is powered by a knowledgeable community that helps you make an informed decision. Best SnippetsLab Alternatives in 2021. Find the top alternatives to SnippetsLab currently available. Compare ratings, reviews, pricing, and features of SnippetsLab alternatives in 2021. Slashdot lists the best SnippetsLab alternatives on the market that offer competing products that are similar to SnippetsLab. Calendar for Year 2009 (United States) Printing Help page for better print results. Phases of the Moon are calculated using local time in New York. Disable moonphases. Red –Federal Holidays and Sundays.
- Stunning user interface with 13 fully customizable themes.
- Syntax highlighting for over 440 languages.
- Create nested folders, as well as Smart Groups and shortcuts.
- Add notes & tags to a snippet.
- Include multiple fragments in a single snippet (useful when one snippet logically consists of multiple separate 'parts,' such as a header and an implementation, or different solutions to one problem; every fragment under one snippet can have its own language and notes).
- Multiple windows & pin individual window at the top of the screen.
- Use advanced search filters (search by folder/tags/languages) to find your snippets instantly.
- Use iCloud to synchronize your library across multiple devices.
- Automatic code formatting (for supported languages only).
- Export the library to JSON, XML or plain text files.
- Use SnippetsLab Assistant to search, browse and create snippets right from the menu bar, with advanced keyboard navigation support.
- Automatic backups for a peace of mind.
- Support for printing, sharing, macOS Services, etc.
Markdown Support
- Create markdown snippets.
- Choose between editing, preview, or side-by-side viewing mode.
- Accurate two-way scroll synchronization.
- Syntax highlighting for the same set of over 440 supported languages.
- Write and render LaTeX/MathJax formulas.
- Quickly toggle format options and insert links, tables, footnotes, etc.
- Fully customizable CSS themes.
Integrations
- Sync: Customize the library location to use any 3rd-party file-based sync services (such as Dropbox or Google Drive)
- GitHub Gist: Import from GitHub Gist & publish your snippets as gists. (Please note that two-way sync is not supported.)
- Alfred Custom Search: Start searching from Alfred using the 'snippetslab://search/{query}' URL scheme
- Alfred Workflow: Search and view the results directly in Alfred, open them in SnippetsLab, copy to clipboard or paste to the frontmost app (Note: Alfred Powerpack is required to use the workflow)
In Internet culture, the 1% rule is a rule of thumb pertaining to participation in an internet community, stating that only 1% of the users of a website add content, while the other 99% of the participants only lurk. Variants include the 1–9–90 rule (sometimes 90–9–1 principle or the 89:10:1 ratio),[1] which states that in a collaborative website such as a wiki, 90% of the participants of a community only consume content, 9% of the participants change or update content, and 1% of the participants add content.
Similar rules are known in information science; for instance, the 80/20 rule known as the Pareto principle states that 20 percent of a group will produce 80 percent of the activity, however the activity is defined. Scrutiny 8 2 2 12.
Definition[edit]
According to the 1% rule, about 1% of Internet users are responsible for creating content, while 99% are merely consumers of that content. For example, for every person who posts on a forum, generally about 99 other people view that forum but do not post. Sqlpro studio 1 0 134 download free. The term was coined by authors and bloggers Ben McConnell and Jackie Huba,[2] although earlier references to the same concept[3] did not use this name.
The terms lurk and lurking, in reference to online activity, are used to refer to online observation without engaging others in the community.[4]
A 2005 study of radical Jihadist forums found 87% of users had never posted on the forums, 13% had posted at least once, 5% had posted 50 or more times, and only 1% had posted 500 or more times.[5]
A 2014 peer-reviewed paper entitled 'The 1% Rule in Four Digital Health Social Networks: An Observational Study' empirically examined the 1% rule in health oriented online forums. The paper concluded that the 1% rule was consistent across the four support groups, with a handful of 'Superusers' generating the vast majority of content.[6] A study later that year, from a separate group of researchers, replicated the 2014 van Mierlo study in an online forum for depression.[7] Results indicated that the distribution frequency of the 1% rule fit followed Zipf's Law, which is a specific type of a power law.
The '90–9–1' version of this rule states that for websites where users can both create and edit content, 1% of people create content, 9% edit or modify that content, and 90% view the content without contributing.
The actual percentage is likely to vary depending upon the subject matter. For example, if a forum requires content submissions as a condition of entry, the percentage of people who participate will probably be significantly higher than one percent, but the content producers will still be a minority of users. This is validated in a study conducted by Michael Wu, who uses economics techniques to analyze the participation inequality across hundreds of communities segmented by industry, audience type, and community focus.[8]
The 1% rule is often misunderstood to apply to the Internet in general, but it applies more specifically to any given Internet community. It is for this reason that one can see evidence for the 1% principle on many websites, but aggregated together one can see a different distribution. This latter distribution is still unknown and likely to shift, but various researchers and pundits have speculated on how to characterize the sum total of participation. Research in late 2012 suggested that only 23% of the population (rather than 90 percent) could properly be classified as lurkers, while 17% of the population could be classified as intense contributors of content.[9] Several years prior, results were reported on a sample of students from Chicago where 60 percent of the sample created content in some form.[10]
Participation inequality[edit]
A similar concept was introduced by Will Hill of AT&T Laboratories[11] and later cited by Jakob Nielsen; this was the earliest known reference to the term 'participation inequality' in an online context.[12] The term regained public attention in 2006 when it was used in a strictly quantitative context within a blog entry on the topic of marketing.[2]
Snippetslab 1 9 25 For Pc
See also[edit]
References[edit]
- ^Arthur, Charles (20 July 2006). 'What is the 1% rule?'. The Guardian.
- ^ abMcConnell, Ben; Huba, Jackie (May 3, 2006). 'The 1% Rule: Charting citizen participation'. Church of the Customer Blog. Archived from the original on 11 May 2010. Retrieved 2010-07-10.
- ^Horowitz, Bradley (February 16, 2006). 'Creators, Synthesizers, and Consumers'. Elatable. Blogger. Retrieved 2010-07-10.
- ^'What is Lurking? – Definition from Techopedia'. Techopedia.com. Retrieved 2019-11-05.
- ^Awan, A. N. (2007). 'Virtual Jihadist media: Function, legitimacy, and radicalising efficacy'(PDF). European Journal of Cultural Studies. 10 (3): 389–408. doi:10.1177/1367549407079713.
- ^van Mierlo, T. (2014). 'The 1% Rule in Four Digital Health Social Networks: An Observational Study'. Journal of Medical Internet Research. 16 (2): e33. doi:10.2196/jmir.2966. PMC3939180. PMID24496109.
- ^Carron-Arthur, B; Cunningham, JA; Griffiths, KM (2014). 'Describing the distribution of engagement in an Internet support group by post frequency: A comparison of the 90–9–1 Principle and Zipf's Law'. Internet Interventions. 1 (4): 165–168. doi:10.1016/j.invent.2014.09.003.
- ^Wu, Michael (April 1, 2010). 'The Economics of 90–9–1: The Gini Coefficient (with Cross Sectional Analyses)'. Lithosphere Community. Lithium Technologies, Inc. Retrieved 2010-07-10.
- ^'BBC Online Briefing Spring 2012: The Participation Choice'.
- ^Hargittai, E; Walejko, G. (2008). 'The Participation Divide: Content creation and sharing in the digital age'. Information, Communication and Society. 11 (2): 389–408. doi:10.1080/13691180801946150.
- ^Hill, William C.; Hollan, James D.; Wroblewski, Dave; McCandless, Tim (1992). Edit wear and read wear. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM. pp. 3–9. doi:10.1145/142750.142751. ISBN978-0-89791-513-7.
- ^'Community is Dead; Long Live Mega-Collaboration', Jakob Nielsen's Alertbox for August 15, 1997
External links[edit]
- Participation Inequality: Lurkers vs. Contributors in Internet Communities by Jakob Nielsen, October 9, 2006.
- What is the 1% rule? by Charles Arthur in The Guardian, July 20, 2006.
- The 1% Rule by Heather Green in BusinessWeek, May 10, 2006
- Institutions vs. Collaboration by Clay Shirky, July 2005, Video at 06:00 and 12:42