Home / Alternatives to SHIKSHAK Apps Like SHIKSHAK for iPhone and iPad
by Spice Club Hospitality Ltd ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 261–280 of 1,000 ranked alternatives.
PT Patel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LAZEEZ RESTAURANT INC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Basanta Lamsal
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
PVR GROUP, LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
PA2K LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
SAMMAYA LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
K & K International LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Gulbahar Singh Bhullar
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Creative Info Tech Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Soopar Kitchen LLC
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
VRINDI INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
Riafy Technologies Private Limited
Cook recipes and share meals
Browse recipes with step-by-step instructions and ingredient lists. Filter by occasion, skill level, and season. Access curated collections for BBQ, salads, and patriotic dishes. Save and share favorite meals.
★ 4.8 10 ratings Food & Drink Free Data updated 2026-09-23
Le Chef PLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-10
Orders Grid Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
REDOQ SOFTWARE SERVICES PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Bhupinder Singh
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sign Soft Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-11-06
Chia Ming Chang
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Living Manna Foods LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SPICE ROUTE NJ LLC
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-29
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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