Twitter laid off 50% of its staff. Principal and staff engineers made lengthy Twitter threads predicting the collapse of the system given its nuance, complexity, and how their positions were key to its survival. Pundits predicted that the site would likely not survive a few weeks, that there was no fat to trim at the company and all the workers let go were essential for daily operations.
Now that it's been three months, what happened to the dreary prognosis? Where is the continuous downtime? Where is the permanent feature freeze? Where is the imminent collapse we were told about? I noticed that nobody is talking about how none of those predictions seem to have manifested. Why?
- impact on reliability (sum across users for key metrics, not anecdotal evidence)
- systemic risk changes, measured using probability of a rare event
- feature velocity, volume of features, 'width' of features (how_many_bets x feature_surface_areas)
- the durability of systems engineered for reliability or "did we build systems that will survive if everyone leaves"
- revenue
- advertiser satisfaction with the technical platform
- impacts to internally maintained systems
- impact of loss of institutional knowledge
- impact of further attrition post-RIF
- compliance
- rate of progress vs competitors as an advertising platform
- rate of progress vs competitors in social media
- (related to above two) ability to maintain competitives advantages with reduced headcount
- probability of success for new revenue streams
There has also been recent reporting on Twitter: https://nypost.com/2023/01/18/twitters-daily-revenue-plunged... https://www.axios.com/2023/01/29/fidelity-cuts-twitter-valua...